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Group sparse topical coding

Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
2013 Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13  
However, traditional probabilistic topic models (PTM) lack a mechanism to directly control the posterior sparsity of the inferred representations; While the emerged non-probabilistic models (NPM) can explicitly  ...  Our model enjoys both the merits of the PTMs and NPMs.  ...  However, traditional PTMs lack a mechanism to directly control the posterior sparsity of the inferred representations, since the admixture proportions or topics are normalized distributions.  ... 
doi:10.1145/2433396.2433438 dblp:conf/wsdm/BaiGLC13 fatcat:kqneucejkzdflezay2z2k53kui

Online probabilistic topological mapping

Ananth Ranganathan, Frank Dellaert
2011 The international journal of robotics research  
We present a novel algorithm for topological mapping, which is the problem of finding the graph structure of an environment from a sequence of measurements.  ...  We evaluate the algorithm on a robot in diverse environments.  ...  The landmark location prior was used with a value of 10 meters for the penalty radius and 15 for the maximum penalty value.  ... 
doi:10.1177/0278364910393287 fatcat:ydwa777smvgqtjey7zi32tvqky

Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis

Chen Chen, Jie Hou, John J Tanner, Jianlin Cheng
2020 International Journal of Molecular Sciences  
We conclude with a discussion of how quantitative protein data can be used to reconstruct protein interactions and signaling networks.  ...  In this review, we discuss the current developments in the bioinformatics methods used in proteomics and how they facilitate the mechanistic understanding of biological processes.  ...  It reduces the model complexity and number of features required for prediction by adding larger penalties to models that have more parameters.  ... 
doi:10.3390/ijms21082873 pmid:32326049 pmcid:PMC7216093 fatcat:5zbrkah4xvec3mq3ypal7cxfbu

Aurora Image Classification Based on Multi-Feature Latent Dirichlet Allocation

Yanfei Zhong, Rui Huang, Ji Zhao, Bei Zhao, Tingting Liu
2018 Remote Sensing  
can be reduced due to using only a few topics to represent the aurora images.  ...  Due to the rich physical meaning of aurora morphology, the classification of aurora images is an important task for polar scientific expeditions.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10020233 fatcat:zom265eiuvehtnqfkckpq237w4

Semantic-based topic detection using Markov decision processes

Qian Chen, Xin Guo, Hexiang Bai
2017 Neurocomputing  
Essentially, pTM is a type of probabilistic model used for topic modeling, including L SA, pL SA , LDA , and various extension versions of pTM, which treat a topic as a distribution over the term space  ...  Despite the success of pTM, it has several drawbacks, as follows. (1) The inference algorithm used in the model can be too complex and much time is required to generate the topic word http://dx.  ...  Acknowledgments This study was supported by the National Natural Science  ... 
doi:10.1016/j.neucom.2017.02.020 fatcat:yvze46zl3jbyppnbvz4pkyvcqe

Survey on Reliability Estimation in Digital Circuits

Matheus Ferreira Pontes, Clayton Farias, Rafael Schvittz, Paulo Butzen, Leomar Da Rosa Jr
2021 Journal of Integrated Circuits and Systems  
This paper overviews the current trend for estimating the radiation reliability of digital circuits.  ...  The interaction of environmental radiation with the devices in the integrated circuits (ICs) may be the dominant reliability aspect of advanced ICs.  ...  (CNPq), and by the Fundac ¸ão de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS).  ... 
doi:10.29292/jics.v16i3.568 fatcat:u7l77bxcuzcfziqudvxmruferq

The Effect of Using Multi-Skilled Workforce on the Flexibility of Project Resource Scheduling and Project Costs

Thulisile Manyi, Rosemary Sibanda, Ankit Katrodia
2018 Journal of Economics and Behavioral Studies  
The hypothesis testing performed concluded as follows; H1: The use of multi-skilling provides for flexible project resource scheduling; the research hypothesis was accepted.  ...  utilization of project technicians and members if adopted at Eskom PTM Central Group department.  ...  at any time without a consequence or penalty.  ... 
doi:10.22610/jebs.v10i4(j).2424 fatcat:eymtzvshbfh4vosxvpmiq4lcdm

Topic Model Supervised by Understanding Map [article]

Gangli Liu
2022 arXiv   pre-print
The notion is under a framework model called Understanding Map Supervised Topic Model (UM-S-TM).  ...  Inspired by the notion of Center of Mass in physics, an extension called Semantic Center of Mass (SCOM) is proposed, and used to discover the abstract "topic" of a document.  ...  Following is a parallel comparison between UM-S-TM and Probabilistic Topic Models (PTM). • In UM-S-TM, a concept that belongs to a topic is a subtopic of the topic.  ... 
arXiv:2110.06043v12 fatcat:r6mgegx2yzh7liv32q5v275rzi

Protein stability: a crystallographer's perspective

Marc C. Deller, Leopold Kong, Bernhard Rupp
2016 Acta Crystallographica Section F Structural Biology Communications  
Protein stability is a topic of major interest for the biotechnology, pharmaceutical and food industries, in addition to being a daily consideration for academic researchers studying proteins.  ...  An understanding of protein stability is essential for optimizing the expression, purification, formulation, storage and structural studies of proteins.  ...  We would like to thank members of the Joint Center for Structural Genomics for fruitful discussions and contribution of the Thermofluor and DXMS data.  ... 
doi:10.1107/s2053230x15024619 pmid:26841758 pmcid:PMC4741188 fatcat:yetpk3d7evcxpiy23j7hud2a2u

Kinetic Modeling of Saccharomyces cerevisiae Central Carbon Metabolism: Achievements, Limitations, and Opportunities

David Lao-Martil, Koen J. A. Verhagen, Joep P. J. Schmitz, Bas Teusink, S. Aljoscha Wahl, Natal A. W. van Riel
2022 Metabolites  
To unravel the regulation of this network upon glucose perturbation, several metabolic models have been developed for the microorganism Saccharomyces cerevisiae.  ...  Notably, models need to be made more complex to consider the multiple layers of glycolytic regulation and external physiological variables regulating the bioprocess, opening new possibilities for extrapolation  ...  These include topics such as glucose metabolism, parameter estimation, model optimization, inference, and integration.  ... 
doi:10.3390/metabo12010074 pmid:35050196 pmcid:PMC8779790 fatcat:zzsfheof4jg65ghruzawygfjzu

In the Wrong Place at the Wrong Time: Identifying Spatiotemporal Co-occurrence of Bycaught Common Dolphins and Fisheries in the Bay of Biscay (NE Atlantic) From 2010 to 2019

Helene Peltier, Matthieu Authier, Florence Caurant, Willy Dabin, Pierre Daniel, Cecile Dars, Fabien Demaret, Eleonore Meheust, Olivier Van Canneyt, Jerome Spitz, Vincent Ridoux
2021 Frontiers in Marine Science  
The aim of this work was to identify positive spatial and temporal correlations between the likely origins of bycaught stranded common dolphins (estimated from a mechanistic drift model) and fishing effort  ...  Except for changes in hake landings in some fisheries, there were no notable changes in total fishing effort practice (gear or target species) based on the data required by the ICES and Council of the  ...  We are grateful to all the members of the French stranding scheme for their continuous effort in collecting data on stranded cetaceans.  ... 
doi:10.3389/fmars.2021.617342 fatcat:7g3wyscm7veojf7k74b4izviuu

Automatic Detection of Sensitive Data Using Transformer- Based Classifiers

Michael Petrolini, Stefano Cagnoni, Monica Mordonini
2022 Future Internet  
Additionally, we want the classifiers to recognize the particular type of sensitive topic with which they deal, in order for a company to have a better knowledge of the data they own.  ...  We expect to make the model described in this paper available as a web service, customized to private data of possible customers, or even in a free-to-use version based on the freely available data set  ...  This regulation affects all companies that process data of European residents regardless of the place in which they are processed and provides for a strict data protection discipline, with severe penalties  ... 
doi:10.3390/fi14080228 fatcat:3fjj3d55qrfsjmxqms67sl5au4

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation [article]

Xiangpeng Wei, Heng Yu, Yue Hu, Rongxiang Weng, Weihua Luo, Jun Xie, Rong Jin
2022 arXiv   pre-print
The principal task in supervised neural machine translation (NMT) is to learn to generate target sentences conditioned on the source inputs from a set of parallel sentence pairs, and thus produce a model  ...  However, it is commonly observed that the generalization performance of the model is highly influenced by the amount of parallel data used in training.  ...  Acknowledgments We would like to thank all of the anonymous reviewers (during ARR Oct. and ARR Dec.) for the helpful comments.  ... 
arXiv:2204.06812v1 fatcat:m4jmbsl645ebhgincikoxtftya

Multisystem Bayesian constraints on the transport coefficients of QCD matter

D. Everett, W. Ke, J.-F. Paquet, G. Vujanovic, S. A. Bass, L. Du, C. Gale, M. Heffernan, U. Heinz, D. Liyanage, M. Luzum, A. Majumder (+36 others)
2021 Physical Review C  
A model-to-data comparison with Bayesian inference is performed, revisiting assumptions made in previous studies.  ...  The role of parameter priors is studied in light of their importance for the interpretation of results.  ...  [28] for a recent study which includes uncertainty in the lattice-matched equation of state.  ... 
doi:10.15120/gsi-2021-00900 fatcat:egbk2oe3jfeghc5w5a5cg2hvca

Modeling compact binary signals and instrumental glitches in gravitational wave data [article]

Katerina Chatziioannou, Neil Cornish, Marcella Wijngaarden, Tyson B. Littenberg
2021 arXiv   pre-print
The model for the glitches is generic and can thus be applied to a wide range of glitch morphologies without any special tuning.  ...  inferred using templates for the compact binary signal.  ...  This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center (, a service of LIGO Laboratory, the LIGO Scientific  ... 
arXiv:2101.01200v1 fatcat:pttgbur6t5gm3ffyhllhdheoc4
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