Inductive Logic Programming 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers /
| Corporate Author: | |
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| Other Authors: | , , , |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Lecture Notes in Artificial Intelligence ;
4894 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-78469-2 |
Table of Contents:
- Invited Talks
- Learning with Kernels and Logical Representations
- Beyond Prediction: Directions for Probabilistic and Relational Learning
- Extended Abstracts
- Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract)
- Learning Directed Probabilistic Logical Models Using Ordering-Search
- Learning to Assign Degrees of Belief in Relational Domains
- Bias/Variance Analysis for Relational Domains
- Full Papers
- Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
- Clustering Relational Data Based on Randomized Propositionalization
- Structural Statistical Software Testing with Active Learning in a Graph
- Learning Declarative Bias
- ILP :- Just Trie It
- Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning
- Empirical Comparison of “Hard” and “Soft” Label Propagation for Relational Classification
- A Phase Transition-Based Perspective on Multiple Instance Kernels
- Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
- Applying Inductive Logic Programming to Process Mining
- A Refinement Operator Based Learning Algorithm for the Description Logic
- Foundations of Refinement Operators for Description Logics
- A Relational Hierarchical Model for Decision-Theoretic Assistance
- Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
- Revising First-Order Logic Theories from Examples Through Stochastic Local Search
- Using ILP to Construct Features for Information Extraction from Semi-structured Text
- Mode-Directed Inverse Entailment for Full Clausal Theories
- Mining of Frequent Block Preserving Outerplanar Graph Structured Patterns
- Relational Macros for Transfer in Reinforcement Learning
- Seeing the Forest Through the Trees
- Building Relational World Models for Reinforcement Learning
- An Inductive Learning System for XML Documents.