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An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model

Erlandson Ferreira Saraiva, Adriano Kamimura Suzuki, Luis Aparecido Milan, Carlos Alberto de Bragança Pereira
<span title="2019-10-30">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
This paper presents an integrated approach for the estimation of the parameters of a mixture model in the context of data clustering.  ...  For this, we marginalize out the weights for getting allocation probabilities that depend on the number of clusters but not on the number of components of the mixture model.  ...  Integrated Approach We start our integrated approach linking data clustering to a mixture model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e21111063">doi:10.3390/e21111063</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t2knkrvfbrb53bkfyrbzpdgfle">fatcat:t2knkrvfbrb53bkfyrbzpdgfle</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211115830/https://res.mdpi.com/d_attachment/entropy/entropy-21-01063/article_deploy/entropy-21-01063.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/97/c8/97c82bee1704fa1652142f7dbd1d0752e4958811.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e21111063"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection [chapter]

Wentao Fan, Nizar Bouguila, Hassen Sallay
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We propose an incremental nonparametric Bayesian approach for clustering. Our approach is based on a Dirichlet process mixture of generalized Dirichlet (GD) distributions.  ...  Unlike classic clustering approaches, our model does not require the number of clusters to be pre-defined.  ...  An important problem is to model these data to improve the process of making automatic decisions [12] . A widely used approach for data modeling and knowledge discovery is clustering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-41299-8_35">doi:10.1007/978-3-642-41299-8_35</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fzjku6yiufh63a2r4pu2pk2s4q">fatcat:fzjku6yiufh63a2r4pu2pk2s4q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222220618/http://pdfs.semanticscholar.org/3d58/a390e84bbdf2989e45be3301509f3a3e24f9.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/58/3d58a390e84bbdf2989e45be3301509f3a3e24f9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-41299-8_35"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Comparative Analysis of Exemplar-Based Approaches for Students' Learning Style Diagnosis Purposes

Daiva Goštautaitė, Jevgenij Kurilov
<span title="2021-07-31">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
A comparative analysis of approaches combining exemplar-based modelling and case-based reasoning leads to the choice of the Bayesian Case model for diagnosing a student's learning style based on the data  ...  This paper focuses on the integration between computer science and social science (namely, education) for strengthening the visibility, recognition, and understanding the problems of simulation and modelling  ...  of relationships between nodes and in case of change of number of nodes generative mixture model, feature values exist in a discrete set that is not necessarily binary; uses clustering, number  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11157083">doi:10.3390/app11157083</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q6kbj6qvvfhh7fmc7c4havjp7y">fatcat:q6kbj6qvvfhh7fmc7c4havjp7y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210803004901/https://res.mdpi.com/d_attachment/applsci/applsci-11-07083/article_deploy/applsci-11-07083.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f4/51/f45104968767d589c78ff13659c15317e395e94f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11157083"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Simple approximate MAP Inference for Dirichlet processes [article]

Yordan P. Raykov, Alexis Boukouvalas, Max A. Little
<span title="2014-11-04">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The Dirichlet process mixture (DPM) is a ubiquitous, flexible Bayesian nonparametric statistical model.  ...  This is a well-posed approximation to the MAP solution of the probabilistic DPM model.  ...  We fit a CRP mixture model with integrated-out component parameters (14) by MAP and integrated-out Gibbs inference, using the known, ground truth model values for the NG prior and α used to generate the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1411.0939v1">arXiv:1411.0939v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m77ea3kquzerpnxxaadegilmzi">fatcat:m77ea3kquzerpnxxaadegilmzi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191021180638/https://arxiv.org/pdf/1411.0939v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/70/2070e20ea4a3541e9b7eb8edf8c83bd18342bd34.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1411.0939v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Sequential Gaussian Processes for Online Learning of Nonstationary Functions [article]

Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt
<span title="2019-10-16">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, the typical GP regression model suffers from several drawbacks: i) Conventional GP inference scales O(N^3) with respect to the number of observations; ii) updating a GP model sequentially is not  ...  Our approach empirically improves performance over state-of-the-art methods for online GP estimation in the context of prediction for simulated non-stationary data and hospital time series data.  ...  By combining fast inference with flexible modeling, these approaches will have a profound impact in real-time monitoring and decision-making in patient health.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.10003v2">arXiv:1905.10003v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lot23jfkzfe5vc7sxrmwv336ni">fatcat:lot23jfkzfe5vc7sxrmwv336ni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831022543/https://arxiv.org/pdf/1905.10003v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/c5/38c54aa597ef42e33d56691c50bd142d9a3a1769.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.10003v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Bayesian correlated clustering to integrate multiple datasets

Paul Kirk, Jim E. Griffin, Richard S. Savage, Zoubin Ghahramani, David L. Wild
<span title="2012-10-09">2012</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4r72gbmtcrde5no3fwwogjs3cu" style="color: black;">Computer applications in the biosciences : CABIOS</a> </i> &nbsp;
We present a Bayesian method for the unsupervised integrative modelling of multiple datasets, which we refer to as MDI (Multiple Dataset Integration).  ...  Motivation: The integration of multiple datasets remains a key challenge in systems biology and genomic medicine.  ...  ACKNOWLEDGEMENTS We thank John Pinney for help with GO Term Overlap, and Maxime Huvet for useful discussions. Funding: PK, JEG, ZG and DLW acknowledge support from the EPSRC (grant EP/I036575/1).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bts595">doi:10.1093/bioinformatics/bts595</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23047558">pmid:23047558</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3519452/">pmcid:PMC3519452</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vuslzah73jhojkqc475isuq2yy">fatcat:vuslzah73jhojkqc475isuq2yy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923012001/http://wrap.warwick.ac.uk/50805/1/WRAP_Kirk_Bioinformatics-2012-Kirk-bioinformatics_bts595.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6a/b5/6ab5218bd542a9a6604575b9e5b4008940634fb2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bts595"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519452" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Simple approximate MAP inference for Dirichlet processes mixtures

Yordan P. Raykov, Alexis Boukouvalas, Max A. Little
<span title="">2016</span> <i title="Institute of Mathematical Statistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t6cjwmijl5fi5ksnplmoz7xzji" style="color: black;">Electronic Journal of Statistics</a> </i> &nbsp;
We illustrate the benefits of our algorithm on a range of examples and contrast it to variational, SVA and sampling approaches from both a computational complexity perspective as well as in terms of clustering  ...  We demonstrate the wide applicabiity of our approach by presenting an approximate MAP inference method for the infinite hidden Markov model whose performance contrasts favorably with a recently proposed  ...  Therefore the HMM does not involve a single mixture model, but rather a set of different mixture models, one for each value of the current state.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1214/16-ejs1196">doi:10.1214/16-ejs1196</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vks53d4vjvgqxbgj5bm5c4672i">fatcat:vks53d4vjvgqxbgj5bm5c4672i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719180555/http://publications.aston.ac.uk/29465/1/Simple_approximate_MAP_inference_for_Dirichlet_processes_mixtures.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7d/93/7d93e5727971824325958a703e47bcad7934b1d0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1214/16-ejs1196"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI Data

Rasmus E. Røge, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten Mørup
<span title="">2017</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rckx6fqoszfvva5c53bqivu5am" style="color: black;">Neural Computation</a> </i> &nbsp;
In this letter, we discuss a Bayesian von Mises-Fisher (vMF) mixture model for data on the unit hypersphere and present an efficient inference procedure based on collapsed Markov chain Monte Carlo sampling  ...  Comparing the vMF and gaussian mixture models on synthetic data, we demonstrate that the vMF model has a slight advantage inferring the true underlying clustering when compared to gaussian-based models  ...  K.H.M. was supported by Lundbeckfonden (Grant of Excellence "ContAct" R59-5399 to Hartwig Roman Siebner) and by a Novo Nordisk Foundation Interdisciplinary Synergy Grant (NNF14OC0011413).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/neco_a_01000">doi:10.1162/neco_a_01000</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28777721">pmid:28777721</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n255pw7kmzg4fpbfcttfwkqvqa">fatcat:n255pw7kmzg4fpbfcttfwkqvqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190315020823/https://core.ac.uk/download/pdf/86557681.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4d/32/4d32f60bad89edd122f86c4998c0b27c6e913c4e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/neco_a_01000"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution

Christopher A. Miller, Brian S. White, Nathan D. Dees, Malachi Griffith, John S. Welch, Obi L. Griffith, Ravi Vij, Michael H. Tomasson, Timothy A. Graubert, Matthew J. Walter, Matthew J. Ellis, William Schierding (+6 others)
<span title="2014-08-07">2014</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ch57atmlprauhhbqdf7x4ytejm" style="color: black;">PLoS Computational Biology</a> </i> &nbsp;
To address this need, we present SciClone, a computational method that identifies the number and genetic composition of subclones by analyzing the variant allele frequencies of somatic mutations.  ...  We use it to detect subclones in acute myeloid leukemia and breast cancer samples that, though present at disease onset, are not evident from a single primary tumor sample.  ...  Acknowledgments We thank Joshua McMichael for help with figure preparation and David Spencer and Michael Wendl for critical review of the manuscript. Author Contributions  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pcbi.1003665">doi:10.1371/journal.pcbi.1003665</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25102416">pmid:25102416</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4125065/">pmcid:PMC4125065</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sodimfirdbbrrgvc3us7bvedke">fatcat:sodimfirdbbrrgvc3us7bvedke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171015142756/http://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1003665&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/ee/23eee8c8ab241f8ddd9ce3859d582343ff7527ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pcbi.1003665"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125065" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Bayesian non-parametrics and the probabilistic approach to modelling

Z. Ghahramani
<span title="2012-12-31">2012</span> <i title="The Royal Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ercgg4vn2fenngurcnadfzdfri" style="color: black;">Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences</a> </i> &nbsp;
In numerical integration, one is trying to infer the value of an integral by computing the integrand at a limited number of locations.  ...  The three key ingredients in any approach to modelling are the data, the model and an algorithm for doing probabilistic inference in the model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1098/rsta.2011.0553">doi:10.1098/rsta.2011.0553</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23277609">pmid:23277609</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3538441/">pmcid:PMC3538441</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ijkac3jxqja7vn5736po2rukly">fatcat:ijkac3jxqja7vn5736po2rukly</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190219174237/http://pdfs.semanticscholar.org/18ab/00e5054346854d67c0867c15c3f62ca0e6ae.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/18/ab/18ab00e5054346854d67c0867c15c3f62ca0e6ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1098/rsta.2011.0553"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538441" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Bayesian model selection for the latent position cluster model for Social Networks [article]

Caitriona Ryan, Jason Wyse, Nial Friel
<span title="2017-02-01">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The latent position cluster model is a popular model for the statistical analysis of network data.  ...  However, exploring the uncertainty in the number of underlying latent components in the mixture distribution is a complex task.  ...  In the case of the mixture, one could question whether an effective sample size of n is a good choice for a prior on latent unobserved data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1702.00204v1">arXiv:1702.00204v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pw3lsl6mvrad7azq4xdd5h3qx4">fatcat:pw3lsl6mvrad7azq4xdd5h3qx4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200904203154/https://arxiv.org/pdf/1702.00204v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ad/5e/ad5eed2e39a2573958ab6201f9c83f6dff7aa9f6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1702.00204v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Fast Nonparametric Clustering of Structured Time-Series

James Hensman, Magnus Rattray, Neil D. Lawrence
<span title="2015-02-01">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3px634ph3vhrtmtuip6xznraqi" style="color: black;">IEEE Transactions on Pattern Analysis and Machine Intelligence</a> </i> &nbsp;
Our innovation in the DP model is an implementation of a new fast collapsed variational inference procedure which enables us to optimize our variational approximation significantly faster than standard  ...  Our innovation in the GP model is to introduce a variation on the GP prior which enables us to model structured time-series data, i.e. data containing groups where we wish to model inter-and intra-group  ...  Our method for inferring structure and clustering in the model also offers an improvement over the aforementioned approaches.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2014.2318711">doi:10.1109/tpami.2014.2318711</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26353249">pmid:26353249</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6t5vjqyfrjavjhhkk43pans7mu">fatcat:6t5vjqyfrjavjhhkk43pans7mu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719013843/http://eprints.whiterose.ac.uk/120158/1/1401.1605v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/69/77698462b45fa9fc44e81f40dabf5cd0a2b32b29.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpami.2014.2318711"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Fast nonparametric clustering of structured time-series [article]

James Hensman and Magnus Rattray and Neil D. Lawrence
<span title="2014-04-14">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our innovation in the DP model is an implementation of a new fast collapsed variational inference procedure which enables us to optimize our variationala pproximation significantly faster than standard  ...  Our innovation in the GP model is to introduce a variation on the GP prior which enables us to model structured time-series data, i.e. data containing groups where we wish to model inter- and intra-group  ...  Our method for inferring structure and clustering in the model also offers an improvement over the aforementioned approaches.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1401.1605v2">arXiv:1401.1605v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z4xc5ksmybedlpmhp6bv34myha">fatcat:z4xc5ksmybedlpmhp6bv34myha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827035620/https://arxiv.org/pdf/1401.1605v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/d7/6ed74f54eb9c14412974822653b0fd7f540f6490.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1401.1605v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Bayesian model selection for the latent position cluster model for Social Networks [article]

Nial Friel and Caitriona Ryan and Jason Wyse
<span title="2013-08-22">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The latent position cluster model is a popular model for the statistical analysis of network data.  ...  This approach assumes that there is an underlying latent space in which the actors follow a finite mixture distribution.  ...  The examples of Section 5 can be reproduced by calling an R script also provided. Please see the file README contained within the accompanying tar file for more details.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1308.4871v1">arXiv:1308.4871v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/db5gipqhmbhbfilzzwxyelqewa">fatcat:db5gipqhmbhbfilzzwxyelqewa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200904040607/https://arxiv.org/pdf/1308.4871v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/92/779246ba015928e73e40c6022f774954f82f2004.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1308.4871v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Bayesian model selection for the latent position cluster model for social networks

CAITRÍONA RYAN, JASON WYSE, NIAL FRIEL
<span title="">2017</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlvhfnkg55dizia4sebehhpaqa" style="color: black;">Network Science</a> </i> &nbsp;
The latent position cluster model is a popular model for the statistical analysis of network data.  ...  However, exploring the uncertainty in the number of underlying latent components in the mixture distribution is a complex task.  ...  The examples of Section 5 can be reproduced by calling an R script also provided. Please see the file README contained within the accompanying tar file for more details.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2017.6">doi:10.1017/nws.2017.6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3bl3jpalxrehroym2lgahcj6pi">fatcat:3bl3jpalxrehroym2lgahcj6pi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719082221/https://researchrepository.ucd.ie/bitstream/10197/8563/1/insight_publication.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9b/a6/9ba6c36cf942535c4bb3f7229fcc0c5236ca34fd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/nws.2017.6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>
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