Produktbild: Inductive Logic Programming
Band 4455

Inductive Logic Programming 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.07.2007

Abbildungen

XII, 456 p.

Herausgeber

Stephen Muggleton + weitere

Verlag

Springer Berlin

Seitenzahl

456

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

802 g

Auflage

2007

Sprache

Englisch

ISBN

978-3-540-73846-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.07.2007

Abbildungen

XII, 456 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

456

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

802 g

Auflage

2007

Sprache

Englisch

ISBN

978-3-540-73846-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Inductive Logic Programming
  • Invited Papers.- Actions, Causation and Logic Programming.- Challenges to Machine Learning: Relations Between Reality and Appearance.- First-Order Probabilistic Languages: Into the Unknown.- Integration of Learning and Reasoning Techniques.- Injecting Life with Computers.- Special Issue Extended Abstracts.- On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate.- Revising Probabilistic Prolog Programs.- Inductive Logic Programming for Gene Regulation Prediction.- QG/GA: A Stochastic Search for Progol.- Generalized Ordering-Search for Learning Directed Probabilistic Logical Models.- ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions.- Margin-Based First-Order Rule Learning.- Research Papers.- Extension of the Top-Down Data-Driven Strategy to ILP.- Extracting Requirements from Scenarios with ILP.- Learning Recursive Patterns for Biomedical Information Extraction.- Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks.- Multi-class Prediction Using Stochastic Logic Programs.- Structuring Natural Language Data by Learning Rewriting Rules.- An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification.- Towards Automating Simulation-Based Design Verification Using ILP.- Minimal Distance-Based Generalisation Operators for First-Order Objects.- Efficient and Scalable Induction of Logic Programs Using a Deductive Database System.- Inductive Mercury Programming.- An ILP Refinement Operator for Biological Grammar Learning.- Combining Macro-operators with Control Knowledge.- Frequent Hypergraph Mining.- Induction of Fuzzy and Annotated Logic Programs.- Boosting Descriptive ILP for Predictive Learning in Bioinformatics.- Relational Sequence Alignments and Logos.- On the Missing Link Between Frequent Pattern Discovery and Concept Formation.- Learning Modal Theories.- A Mining Algorithm Using Property Items Extracted from Sampled Examples.- The Complexity of Translating BLPs to RMMs.- Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming.- ILP Through Propositionalization and Stochastic k-Term DNF Learning.- ?-Subsumption Based on Object Context.- Word Sense Disambiguation Using Inductive Logic Programming.- ReMauve: A Relational Model Tree Learner.- Relational Data Mining Applied to Virtual Engineering of Product Designs.