Statistical relational learning (original) (raw)

Property Value
dbo:abstract Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that exhibit both uncertainty (which can be dealt with using statistical methods) and complex, relational structure.Note that SRL is sometimes called Relational Machine Learning (RML) in the literature. Typically, the knowledge representation formalisms developed in SRL use (a subset of) first-order logic to describe relational properties of a domain in a general manner (universal quantification) and draw upon probabilistic graphical models (such as Bayesian networks or Markov networks) to model the uncertainty; some also build upon the methods of inductive logic programming. Significant contributions to the field have been made since the late 1990s. As is evident from the characterization above, the field is not strictly limited to learning aspects; it is equally concerned with reasoning (specifically probabilistic inference) and knowledge representation. Therefore, alternative terms that reflect the main foci of the field include statistical relational learning and reasoning (emphasizing the importance of reasoning) and first-order probabilistic languages (emphasizing the key properties of the languages with which models are represented). (en) Statistical relational learning (SRL) は人工知能、機械学習のサブ分野である。SRLでは、(統計的理論で扱うことのできる)不確実性、および、複雑な関係構造のどちらもを提示するドメインに関するものである。SRLは時として関係性機械学習 (Relational Machine Learning; MRL) と記述されることもある。典型的には、SRLにおいて公知される知識表現形式は一階述語論理(のサブセット)を一般的方法でドメインの関係特性を記述するために使用し、ベイジアンネットワークやマルコフネットワークといったグラフィカルモデルを、不確実性のモデルとして使用する。 (ja)
dbo:wikiPageExternalLink http://www.cs.ubc.ca/~hkhosrav/pub/survey.pdf http://www.jair.org/media/3659/live-3659-6589-jair.pdf ftp://nozdr.ru/biblio/kolxo3/Cs/CsLn/Inductive%20Logic%20Programming,%2016%20conf.,%20ILP%202006(LNCS4455,%20Springer,%202006)(ISBN%203540738460)(466s).pdf%23page=20 http://www.ai.sri.com/~braz/papers/sci-chapter.pdf
dbo:wikiPageID 19667111 (xsd:integer)
dbo:wikiPageLength 6824 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID 1118576433 (xsd:integer)
dbo:wikiPageWikiLink dbr:Probabilistic_graphical_model dbr:Probabilistic_soft_logic dbr:Universal_quantification dbr:Bayesian_network dbc:Computational_statistics dbr:Relation_(mathematics) dbr:Inductive_logic_programming dbr:Social_network dbr:Semantic_reasoner dbr:Grammar_induction dbr:Dan_Roth dbr:Statistical_inference dbr:Machine_learning dbr:Stuart_J._Russell dbr:Cluster_analysis dbr:Kristian_Kersting dbc:Machine_learning dbr:Domain_model dbr:Fuzzy_logic dbr:Classification_(machine_learning) dbr:Lecture_Notes_in_Computer_Science dbr:Link_prediction dbr:First-order_logic dbr:Formal_concept_analysis dbr:Knowledge_graph_embedding dbr:David_Poole_(researcher) dbr:Knowledge_representation dbr:Artificial_intelligence dbr:Collaborative_filtering dbr:Collective_classification dbr:Record_linkage dbr:Relational_dependency_network dbr:Association_rule_learning dbr:Markov_logic_network dbr:Uncertainty dbr:Markov_network dbr:BLOG_model dbr:Bayesian_logic_program dbr:Jennifer_Neville dbr:Link-based_clustering dbr:Luc_De_Raedt dbr:Multi-entity_Bayesian_network dbr:Recursive_random_field dbr:Relational_Bayesian_network dbr:Relational_Kalman_filtering dbr:Relational_Markov_network dbr:Sriraam_Natarajan
dbp:wikiPageUsesTemplate dbt:ISBN dbt:More_footnotes dbt:Reflist dbt:Short_description
dct:subject dbc:Computational_statistics dbc:Machine_learning
rdf:type yago:WikicatStatisticalModels yago:Assistant109815790 yago:CausalAgent100007347 yago:LivingThing100004258 yago:Model110324560 yago:Object100002684 yago:Organism100004475 yago:Person100007846 yago:PhysicalEntity100001930 yago:Worker109632518 yago:YagoLegalActor yago:YagoLegalActorGeo yago:Whole100003553 yago:WikicatProbabilisticModels
rdfs:comment Statistical relational learning (SRL) は人工知能、機械学習のサブ分野である。SRLでは、(統計的理論で扱うことのできる)不確実性、および、複雑な関係構造のどちらもを提示するドメインに関するものである。SRLは時として関係性機械学習 (Relational Machine Learning; MRL) と記述されることもある。典型的には、SRLにおいて公知される知識表現形式は一階述語論理(のサブセット)を一般的方法でドメインの関係特性を記述するために使用し、ベイジアンネットワークやマルコフネットワークといったグラフィカルモデルを、不確実性のモデルとして使用する。 (ja) Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that exhibit both uncertainty (which can be dealt with using statistical methods) and complex, relational structure.Note that SRL is sometimes called Relational Machine Learning (RML) in the literature. Typically, the knowledge representation formalisms developed in SRL use (a subset of) first-order logic to describe relational properties of a domain in a general manner (universal quantification) and draw upon probabilistic graphical models (such as Bayesian networks or Markov networks) to model the uncertainty; some also build upon the methods of inductive logic programming. Significant contributions to the field have been made since the late 1990s. (en)
rdfs:label Statistical relational learning (ja) Statistical relational learning (en)
owl:sameAs freebase:Statistical relational learning wikidata:Statistical relational learning dbpedia-ja:Statistical relational learning https://global.dbpedia.org/id/4vaWQ
prov:wasDerivedFrom wikipedia-en:Statistical_relational_learning?oldid=1118576433&ns=0
foaf:isPrimaryTopicOf wikipedia-en:Statistical_relational_learning
is dbo:academicDiscipline of dbr:Ben_Taskar dbr:Lise_Getoor
is dbo:genre of dbr:Probabilistic_soft_logic
is dbo:knownFor of dbr:Ben_Taskar dbr:Lise_Getoor
is dbo:wikiPageDisambiguates of dbr:SRL
is dbo:wikiPageRedirects of dbr:Probabilistic_relational_model dbr:Relational_probabilistic_model
is dbo:wikiPageWikiLink of dbr:Probabilistic_relational_model dbr:Probabilistic_soft_logic dbr:Probabilistic_Action_Cores dbr:Probabilistic_programming dbr:Ben_Taskar dbr:Inductive_logic_programming dbr:Ehud_Shapiro dbr:Geoffrey_J._Gordon dbr:Glossary_of_artificial_intelligence dbr:Kristian_Kersting dbr:GOFAI dbr:Link_prediction dbr:Lise_Getoor dbr:Logic_programming dbr:Formal_concept_analysis dbr:Knowledge_graph_embedding dbr:Relational_data_mining dbr:Symbolic_artificial_intelligence dbr:Collective_classification dbr:Markov_logic_network dbr:SRL dbr:Uplift_modelling dbr:Urban_traffic_modeling_and_analysis dbr:List_of_statistics_articles dbr:Probabilistic_logic dbr:Outline_of_machine_learning dbr:Supervised_learning dbr:Relational_probabilistic_model
is dbp:genre of dbr:Probabilistic_soft_logic
is dbp:knownFor of dbr:Ben_Taskar
is foaf:primaryTopic of wikipedia-en:Statistical_relational_learning