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Inductive Logic Programming : 9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings / edited by Saso Dzeroski, Peter A. Flach.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 1634.
- Lecture Notes in Artificial Intelligence ; 1634
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Software engineering.
- Computer programming.
- Artificial Intelligence.
- Software Engineering/Programming and Operating Systems.
- Programming Techniques.
- Local Subjects:
- Artificial Intelligence.
- Software Engineering/Programming and Operating Systems.
- Programming Techniques.
- Physical Description:
- 1 online resource (VIII, 312 pages).
- Edition:
- First edition 1999.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
- System Details:
- text file PDF
- Contents:
- I Invited Papers
- Probabilistic Relational Models
- Inductive Databases
- Some Elements of Machine Learning
- II Contributed Papers
- Refinement Operators Can Be (Weakly) Perfect
- Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction
- Refining Complete Hypotheses in ILP
- Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning
- Morphosyntactic Tagging of Slovene Using Progol
- Experiments in Predicting Biodegradability
- 1BC: A First-Order Bayesian Classifier
- Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming
- A Strong Complete Schema for Inductive Functional Logic Programming
- Application of Different Learning Methods to Hungarian Part-of-Speech Tagging
- Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints
- Learning Word Segmentation Rules for Tag Prediction
- Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
- Rule Evaluation Measures: A Unifying View
- Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge
- On Sufficient Conditions for Learnability of Logic Programs from Positive Data
- A Bounded Search Space of Clausal Theories
- Discovering New Knowledge from Graph Data Using Inductive Logic Programming
- Analogical Prediction
- Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms
- Theory Recovery
- Instance based function learning
- Some Properties of Inverse Resolution in Normal Logic Programs
- An Assessment of ILP-assisted models for toxicology and the PTE-3 experiment.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-48751-7
- 9783540487517
- Access Restriction:
- Restricted for use by site license.
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