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020 _a9783540318514
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024 7 _a10.1007/11536314
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
072 7 _aUMZ
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082 0 4 _a005.1
_223
245 1 0 _aInductive Logic Programming
_h[electronic resource] :
_b15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings /
_cedited by Stefan Kramer, Bernhard Pfahringer.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXIV, 434 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3625
505 0 _aResearch Papers -- An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees -- Guiding Inference Through Relational Reinforcement Learning -- Converting Semantic Meta-knowledge into Inductive Bias -- Learning Teleoreactive Logic Programs from Problem Solving -- A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment -- Distance Based Generalisation -- Automatic Induction of Abduction and Abstraction Theories from Observations -- Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models -- Strategies to Parallelize ILP Systems -- Inducing Causal Laws by Regular Inference -- Online Closure-Based Learning of Relational Theories -- Learning Closed Sets of Labeled Graphs for Chemical Applications -- ILP Meets Knowledge Engineering: A Case Study -- Spatial Clustering of Structured Objects -- Generalization Behaviour of Alkemic Decision Trees -- Predicate Selection for Structural Decision Trees -- Induction of the Indirect Effects of Actions by Monotonic Methods -- Probabilistic First-Order Theory Revision from Examples -- Inductive Equivalence of Logic Programs -- Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops -- A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space -- Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data -- Classifying Relational Data with Neural Networks -- Efficient Sampling in Relational Feature Spaces -- Invited Papers -- Why Computers Need to Learn About Music -- Tutorial on Statistical Relational Learning -- Machine Learning for Systems Biology -- Five Problems in Five Areas for Five Years.
520 _a1 "Change is inevitable." Embracing this quote we have tried to carefully exp- iment with the format of this conference, the 15th International Conference on Inductive Logic Programming, hopefully making it even better than it already was. But it will be up to you, the inquisitive reader of this book, to judge our success. The major changes comprised broadening the scope of the conference to include more diverse forms of non-propositional learning, to once again have tutorials on exciting new areas, and, for the ?rst time, to also have a discovery challenge as a platform for collaborative work. This year the conference was co-located with ICML 2005, the 22nd Inter- tional Conference on Machine Learning, and also in close proximity to IJCAI 2005, the 19th International Joint Conference on Arti?cial Intelligence. - location can be tricky, but we greatly bene?ted from the local support provided by Codrina Lauth, Michael May, and others. We were also able to invite all ILP and ICML participants to shared events including a poster session, an invited talk, and a tutorial about the exciting new area of "statistical relational lea- ing". Two more invited talks were exclusively given to ILP participants and were presented as a kind of stock-taking-?ttingly so for the 15th event in a series-but also tried to provide a recipe for future endeavours.
650 0 _aSoftware engineering.
_94138
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer programming.
_94169
650 0 _aMachine theory.
_9144928
650 0 _aAlgorithms.
_93390
650 1 4 _aSoftware Engineering.
_94138
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aProgramming Techniques.
_9144929
650 2 4 _aFormal Languages and Automata Theory.
_9144930
650 2 4 _aAlgorithms.
_93390
700 1 _aKramer, Stefan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9144931
700 1 _aPfahringer, Bernhard.
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_9144932
710 2 _aSpringerLink (Online service)
_9144933
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540281771
776 0 8 _iPrinted edition:
_z9783540813934
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3625
_9144934
856 4 0 _uhttps://doi.org/10.1007/11536314
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