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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Muggleton, Stephen (Επιμελητής έκδοσης), Otero, Ramon (Επιμελητής έκδοσης), Tamaddoni-Nezhad, Alireza (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Lecture Notes in Computer Science, 4455
• Θέματα: Computer science.; Software engineering.; Computer programming.; Algorithms.; Mathematical logic.; Artificial intelligence.; Computer Science.; Software Engineering/Programming and Operating Systems.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Mathematical Logic and Formal Languages.; Algorithm Analysis and Problem Complexity.

The inherent dangers of change are often summed up in the misquoted Chinese curse “May you live in interesting times.” The submission procedure for the 16th International Conference of Inductive Logic Programming (ILP 2006) was a radical (hopefully interesting but not cursed) departure from previous...

Πίνακας περιεχομένων:

• 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.