Inductive Logic Programming 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Σειρά: | Lecture Notes in Computer Science,
5989 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Knowledge-Directed Theory Revision
- Towards Clausal Discovery for Stream Mining
- On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics
- Induction of Relational Algebra Expressions
- A Logic-Based Approach to Relation Extraction from Texts
- Discovering Rules by Meta-level Abduction
- Inductive Generalization of Analytically Learned Goal Hierarchies
- Ideal Downward Refinement in the Description Logic
- Nonmonotonic Onto-Relational Learning
- CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods
- Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals
- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples
- ProGolem: A System Based on Relative Minimal Generalisation
- An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge
- Boosting First-Order Clauses for Large, Skewed Data Sets
- Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages
- Transfer Learning via Relational Templates
- Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data
- Finding Relational Associations in HIV Resistance Mutation Data
- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries
- Parameter Screening and Optimisation for ILP Using Designed Experiments
- Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models
- Policy Transfer via Markov Logic Networks
- Can ILP Be Applied to Large Datasets?.