03017nam 2200721Ia 450 991045085130332120200520144314.066107048211-280-70482-997866107048281-4294-5527-61-60750-207-0600-00-0341-21-4337-0124-39781586036744(CKB)1000000000340144(EBL)280881(OCoLC)228146682(SSID)ssj0000178507(PQKBManifestationID)11197344(PQKBTitleCode)TC0000178507(PQKBWorkID)10221976(PQKB)11008587(MiAaPQ)EBC280881(Au-PeEL)EBL280881(CaPaEBR)ebr10152505(CaONFJC)MIL70482(EXLCZ)99100000000034014420070117d2006 uy 0engur|n|---|||||txtccrAn inductive logic programming approach to statistical relational learning[electronic resource] /Kristian KerstingAmsterdam ;Washington, D.C. IOS Pressc20061 online resource (256 p.)Frontiers in artificial intelligence and applications ;v. 148Dissertations in artificial intelligenceDescription based upon print version of record.1-58603-674-2 Includes bibliographical references (p. 201-221) and index.Title page; Contents; Abstract; Overture; Part I: Probabilistic ILP over Interpretations; Part II: Probabilistic ILP over Time; Intermezzo: Exploiting Probabilistic ILP in Discriminative Classifiers; Part III: Making Complex Decisions in Relational Domains; Finale; Appendix; Bibliography; Symbol Index; IndexTalks about Logic Programming, Uncertainty Reasoning and Machine Learning. This book includes definitions that circumscribe the area formed by extending Inductive Logic Programming to cases annotated with probability values. It investigates the approach of Learning from proofs and the issue of upgrading Fisher Kernels to Relational Fisher Kernels.Frontiers in artificial intelligence and applications.Dissertations in artificial intelligence.Frontiers in artificial intelligence and applications ;v. 148.Logic programmingUncertainty (Information theory)Machine learningMarkov processesElectronic books.Logic programming.Uncertainty (Information theory)Machine learning.Markov processes.Kersting Kristian915365MiAaPQMiAaPQMiAaPQBOOK9910450851303321An inductive logic programming approach to statistical relational learning2051878UNINA