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Inductive Logic Programming : 8th International Conference, ILP-98, Madison, Wisconsin, USA, July 22-24, 1998, Proceedings / edited by David Page.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Page, David, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 1446.
Lecture Notes in Artificial Intelligence ; 1446
Language:
English
Subjects (All):
Software engineering.
Artificial intelligence.
Computer programming.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence.
Programming Techniques.
Local Subjects:
Software Engineering/Programming and Operating Systems.
Artificial Intelligence.
Programming Techniques.
Physical Description:
1 online resource (VIII, 308 pages).
Edition:
First edition 1998.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 8th International Conference on Inductive Logic Programming, ILP-98, held in Madison, Wisconsin, USA, in July 1998. The 27 revised full papers presented together with the abstracts of three invited talks were carefully reviewed and selected for inclusion in the book. All relevant aspects of inductive logic programming are covered ranging from theory to implementations and applications.
Contents:
Attribute-value learning versus inductive logic programming: The missing links
Advances in ILP theory and implementations
Application of ILP to problems in chemistry and biology
Relational reinforcement learning
Learning first-order acyclic Horn programs from entailment
Combining statistical and relational methods for learning in hypertext domains
Application of inductive logic programming to discover rules governing the three-dimensional topology of protein structure
Term comparisons in first-order similarity measures
Stochastic propositionalization of non-determinate background knowledge
A stochastic simple similarity
Using prior probabilities and density estimation for relational classification
Induction of Constraint Grammar-rules using Progol
A hybrid approach to word segmentation
Learning multilingual morphology with Clog
Using ILP-systems for verification and validation of multi-agent systems
Inducing shogi heuristics using inductive logic programming
Repeat learning using predicate invention
Normal programs and multiple predicate learning
Strongly typed inductive concept learning
Function-free Horn clauses are hard to approximate
DOGMA: A GA-based relational learner
Generalization under implication by ?-subsumption
Prolog, refinements and RLGG's
Learning structurally indeterminate clauses
Completing Inverse Entailment
Distances and limits on Herbrand interpretations
Relational distance-based clustering
A framework for defining distances between first-order logic objects
Detecting traffic problems with ILP
A comparison of ILP and propositional systems on propositional traffic data.
Other Format:
Printed edition:
ISBN:
978-3-540-69059-7
9783540690597
Access Restriction:
Restricted for use by site license.

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