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Social networks and statistical relational learning: a survey

Floriana Esposito, Stefano Ferilli, Teresa M.A. Basile, Nicola Di Mauro
<span title="">2012</span> <i title="Inderscience Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7fwrratibve4fc3twcvbzh4n6m" style="color: black;">International Journal of Social Network Mining</a> </i> &nbsp;
Social network mining (SNM) is the corresponding research area, aimed at extracting information about the network objects and behaviour that cannot be obtained based on the explicit/implicit description  ...  Social networks potentially represent an invaluable source of information that can be exploited for scientific and commercial purposes.  ...  Link inference and link prediction are two recent statistical machine learning problems appeared as a result of the increasing interest in the broader problem of link mining in social networks [see Getoor  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijsnm.2012.051057">doi:10.1504/ijsnm.2012.051057</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6i7n2zrrj5geho3eh6nicay5nm">fatcat:6i7n2zrrj5geho3eh6nicay5nm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130108004354/http://www.di.uniba.it/~ndm/publications/files/esposito12ijsnm.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/cf/94/cf944cde3f5801c847de766e2642139ccd1e3243.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1504/ijsnm.2012.051057"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

STATISTICAL RELATIONAL LEARNING: A STATE-OF-THE-ART REVIEW

Muhamet Kastrati, Marenglen Biba
<span title="2019-12-31">2019</span> <i title="Journal of Engineering Technology and Applied Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jq7hzbt5mjfndok55bvwav7k7a" style="color: black;">Journal of Engineering Technology and Applied Sciences</a> </i> &nbsp;
Taskar et al. [71] extended Markov networks (MNs) into relational Markov networks (RMNs), and Domingos and Richardson [18] into Markov logic networks (MLNs).  ...  Abstract The objective of this paper is to review the state-of-the-art of statistical relational learning (SRL) models developed to deal with machine learning and data mining in relational domains in presence  ...  and link prediction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30931/jetas.594586">doi:10.30931/jetas.594586</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qoei3pteibd6la4oqin6rvrxqi">fatcat:qoei3pteibd6la4oqin6rvrxqi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211201839/https://dergipark.org.tr/tr/download/article-file/916465" 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/df/0e/df0e863da24fa71305fe118a9d3067c46fa00cb0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.30931/jetas.594586"> <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>

Probabilistic graphical models in modern social network analysis

Alireza Farasat, Alexander Nikolaev, Sargur N. Srihari, Rachael Hageman Blair
<span title="2015-10-19">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3xvqvdkqejfvdeozx2l3c3rxti" style="color: black;">Social Network Analysis and Mining</a> </i> &nbsp;
Consequently, there is a growing emphasis on mining social networks to extract information for knowledge and discovery.  ...  PGMs in SNA have been used to tackle current and relevant challenges, including the estimation and quantification of importance, propagation of influence, trust (and distrust), link and profile prediction  ...  .: Markov logic: A language and algorithms for link mining. In: Link Mining: Models, Algorithms, and Applications, pp. 135-161. Springer (2010) 41.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13278-015-0289-6">doi:10.1007/s13278-015-0289-6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ovrlvvfgonhttl65aqt7p3ckqq">fatcat:ovrlvvfgonhttl65aqt7p3ckqq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161020091350/http://www.cedar.buffalo.edu:80/~srihari/papers/SNAM-PGM.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/24/3b/243bec0423d9a4ff5fa8fb67dd2171b319846749.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13278-015-0289-6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Mining the Semantic Web

Achim Rettinger, Uta Lösch, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
<span title="2012-02-10">2012</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ja54f4dcmzfz7cvlo7o757jdba" style="color: black;">Data mining and knowledge discovery</a> </i> &nbsp;
However, purely logic methods have not yet proven to be very effective for several reasons: First, there still is the unsolved problem of scalability of reasoning to Web scale.  ...  knowledge bases in RDF to highly expressive first-order knowledge bases, this paper surveys statistical approaches to mining the Semantic Web.  ...  Markov Logic Networks Markov Logic Networks (MLN) combine first-order logic with Markov networks and thus can incorporate DL formulae.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10618-012-0253-2">doi:10.1007/s10618-012-0253-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qhkv27bbkvba3mlolhixrepioq">fatcat:qhkv27bbkvba3mlolhixrepioq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151201100758/http://www.dbs.ifi.lmu.de/~tresp/papers/ARE-MineSemWeb-homepage.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/ba/00/ba00c15e107c9ff71a72991673129fbfba55ad15.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10618-012-0253-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Estimating the effect of word of mouth on churn and cross-buying in the mobile phone market with Markov logic networks

Torsten Dierkes, Martin Bichler, Ramayya Krishnan
<span title="">2011</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/md2ierut4nak5ociupgnvel2oa" style="color: black;">Decision Support Systems</a> </i> &nbsp;
In addition, we propose an approach to propositionalization tailored to predictive modeling with social network data.  ...  to develop the predictive model.  ...  Acknowledgements We would like to thank Florian Wangenheim, the anonymous associate editor and the reviewers for their valuable comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.dss.2011.01.002">doi:10.1016/j.dss.2011.01.002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ru4kssm3w5aard5n7l25hn2eei">fatcat:ru4kssm3w5aard5n7l25hn2eei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810045441/http://dss.in.tum.de/files/bichler-research/2011_dierkes_markov_logic_networks.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/0d/56/0d560a99386acd3cdff8269ea198352054dc8ed3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.dss.2011.01.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Entity Resolution in Sparse Encounter Network Using Markov Logic Network

Christian Lu, Guangyan Huang, Yong Xiang.
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Then, we propose a hierarchical Markov logic network to tackle the inference of the entities in the network which analyses the connection strength of network with multiple types of entities.  ...  In this paper, we provide an automatic method to resolve the ambiguity of entities in sparse encounter network.  ...  Overall it has been proved that the accuracy of social link prediction is improved by the geographical information using a detailed data TF model, and the accuracy of location prediction is enhanced when  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3086233">doi:10.1109/access.2021.3086233</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2skjp5rudzfhnfdtdq6wbq2gse">fatcat:2skjp5rudzfhnfdtdq6wbq2gse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717045020/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09446925.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/13/b2/13b2e8e17908d4544336460db7b63333cd894e90.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3086233"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Statistical Relational Learning with Formal Ontologies [chapter]

Achim Rettinger, Matthias Nickles, Volker Tresp
<span title="">2009</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;
Second, enforcing the ontological constraints guarantees that the learned model does not predict inconsistent relations. In our experiments, this leads to an improved predictive performance.  ...  To demonstrate the feasibility of our approach we provide experiments using real world social network data in form of a SHOIN (D) ontology.  ...  One exception are Markov Logic Networks [10] which combine First Order Logic and Markov Networks and learn weights of formulas.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-04174-7_19">doi:10.1007/978-3-642-04174-7_19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n7cxw32gyrau7kd4sc3qqkcvsi">fatcat:n7cxw32gyrau7kd4sc3qqkcvsi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180730084752/https://link.springer.com/content/pdf/10.1007%2F978-3-642-04174-7_19.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/a4/cf/a4cf9baec2f27cdc008b15f5105dc5ff1f9b42b9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-04174-7_19"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Towards Machine Learning on the Semantic Web [chapter]

Volker Tresp, Markus Bundschus, Achim Rettinger, Yi Huang
<span title="">2008</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;
semi-automatic annotation of unstructured data, and to integrate semantic information into web mining.  ...  Machine learning will increasingly be employed to analyze distributed data sources described in Semantic Web formats and to support approximate Semantic Web reasoning and querying.  ...  Markov Logic Networks (MLN): Let F i be a formula of first-order and let w i ∈ R be a weight attached to each formula. Then a MLN L is defined as a set of pairs (F i , w i ) [68] [69] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-89765-1_17">doi:10.1007/978-3-540-89765-1_17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ixm5kgibajgmvohdfffo43cijm">fatcat:ixm5kgibajgmvohdfffo43cijm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20090116012357/http://wwwbrauer.informatik.tu-muenchen.de/~trespvol/papers/LearningRDF23.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/fd/5b/fd5b57c083ac298330d9109373b2347720379b5d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-89765-1_17"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Node Trust Assessment and Prediction in Mobile Ad Hoc Networks

Shaojie Zhou, Hui Xia
<span title="2015-10-31">2015</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4h7flaxsjnh6he3qbiwvxbekxe" style="color: black;">International Journal of Security and Its Applications</a> </i> &nbsp;
Then we try to combine an improved grey model with the Markov chain together to effectively predict the node's trust.  ...  Then we try to combine an improved grey model with the Markov chain together to effectively predict the node's trust.  ...  Acknowledgments We would like to thank anonymous referees for their helpful suggestions to improve this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsia.2015.9.10.33">doi:10.14257/ijsia.2015.9.10.33</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oerpfhyvj5bkzlvbk6ld4fps6e">fatcat:oerpfhyvj5bkzlvbk6ld4fps6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602164009/http://www.sersc.org/journals/IJSIA/vol9_no10_2015/33.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/b7/ca/b7ca378d6c73ad3ec31718aa9cdcf323882d4e77.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsia.2015.9.10.33"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Explainable Model Fusion for Customer Journey Mapping

Kotaro Okazaki, Katsumi Inoue
<span title="2022-05-11">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jfxjod42szdexo7gatfnybn2ca" style="color: black;">Frontiers in Artificial Intelligence</a> </i> &nbsp;
This is because AI technology is a black box for the social systems it is meant to support; trustworthiness and fairness have not yet been established.  ...  Following preprocessing to make latent variables and their dynamics transparent with latent Dirichlet allocation and a variational autoencoder, a post-hoc explanation is implemented in which a hidden Markov  ...  Both authors contributed to manuscript revision, read, and approved the submitted version.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frai.2022.824197">doi:10.3389/frai.2022.824197</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35647530">pmid:35647530</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9131849/">pmcid:PMC9131849</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ef5t3kjw7rbfladrwb4qc2bzau">fatcat:ef5t3kjw7rbfladrwb4qc2bzau</a> </span>
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A Review of Relational Machine Learning for Knowledge Graphs

Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
<span title="">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yfvtieuumfamvmjlc255uckdlm" style="color: black;">Proceedings of the IEEE</a> </i> &nbsp;
The second is based on mining observable patterns in the graph. We also show how to combine these latent and observable models to get improved modeling power at decreased computational cost.  ...  In this paper, we provide a review of how such statistical models can be "trained" on large knowledge graphs, and then used to predict new facts about the world (which is equivalent to predicting new edges  ...  A common approach is to use "Markov logic" [126] , which is a template language based on logical formulae: Given a set of formulae F " tF i u L i"1 , we create an edge between nodes in the dependency  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2015.2483592">doi:10.1109/jproc.2015.2483592</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uk6xvh5xljgf7aytfadzwzncsi">fatcat:uk6xvh5xljgf7aytfadzwzncsi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809225024/http://www.dbs.ifi.lmu.de/%7Etresp/papers/1503.00759v2.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/94/9c/949cd8c0288efbb77f1bd4aefed93be4119f7946.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jproc.2015.2483592"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Sentiment Analysis [chapter]

<span title="">2017</span> <i title="Springer US"> Encyclopedia of Machine Learning and Data Mining </i> &nbsp;
(Markov logic networks, in principle, also allow one to use arbitrary logical formulae, not just clauses.  ...  Case Study: Markov Logic Networks Markov logic combines first-order logic with Markov networks.  ...  In contrast, SDP assumes a relational or firstorder logical representation of an MDP (as given in Fig. 1 ) to exploit the existence of domain ob-jects, relations over these objects, and the ability to  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_100512">doi:10.1007/978-1-4899-7687-1_100512</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ce4yyqo2czftzcx2kbauglh3fu">fatcat:ce4yyqo2czftzcx2kbauglh3fu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726194650/https://link.springer.com/content/pdf/10.1007%2F978-1-4899-7687-1_791.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/10/76/10767b2f6605ce81453d2aa54ccf512af71ead5a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_100512"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Spike-Timing-Dependent Plasticity [chapter]

<span title="">2017</span> <i title="Springer US"> Encyclopedia of Machine Learning and Data Mining </i> &nbsp;
(Markov logic networks, in principle, also allow one to use arbitrary logical formulae, not just clauses.  ...  Case Study: Markov Logic Networks Markov logic combines first-order logic with Markov networks.  ...  In contrast, SDP assumes a relational or firstorder logical representation of an MDP (as given in Fig. 1 ) to exploit the existence of domain ob-jects, relations over these objects, and the ability to  ... 
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Statistical Relational Learning [chapter]

<span title="">2014</span> <i title="Springer New York"> Encyclopedia of Social Network Analysis and Mining </i> &nbsp;
Methods discussed include inductive logic programming, relational neural networks, and probabilistic logical or relational models.  ...  Compounds are classified as active or inactive with regard to a given disease and the goal is to build models that are able to distinguish active from inactive compounds based on their molecular structure  ...  Markov Logic Networks (MLNs) [52] can be seen as an upgrade to first order logic of Markov networks. MLNs are defined as sets of weighted first order logic formulas.  ... 
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Lifted graphical models: a survey

Angelika Kimmig, Lilyana Mihalkova, Lise Getoor
<span title="2014-05-22">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h4nnd7sxwzcwhetu5qkjbcdh6u" style="color: black;">Machine Learning</a> </i> &nbsp;
We discuss inference algorithms, including lifted inference algorithms, that efficiently compute the answers to probabilistic queries over such models.  ...  In this survey, we review a general form for a lifted graphical model, a par-factor graph, and show how a number of existing statistical relational representations map to this formalism.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF or the CRA.  ... 
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