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Conferences in DBLP
- Vladimir Lifschitz
Actions, Causation and Logic Programming. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:1- [Conf]
- John McCarthy
Challenges to Machine Learning: Relations Between Reality and Appearance. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:2-9 [Conf]
- Brian Milch, Stuart J. Russell
First-Order Probabilistic Languages: Into the Unknown. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:10-24 [Conf]
- Bart Selman
Integration of Learning and Reasoning Techniques. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:25- [Conf]
- Ehud Y. Shapiro
Injecting Life with Computers. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:26- [Conf]
- Érick Alphonse, Aomar Osmani
On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:27-29 [Conf]
- Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen
Revising Probabilistic Prolog Programs. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:30-33 [Conf]
- Sebastian Fröhler, Stefan Kramer
Inductive Logic Programming for Gene Regulation Prediction. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:34-36 [Conf]
- Stephen Muggleton, Alireza Tamaddoni-Nezhad
QG/GA: A Stochastic Search for Progol. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:37-39 [Conf]
- Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:40-42 [Conf]
- Fabrizio Riguzzi
ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:43-45 [Conf]
- Ulrich Rückert, Stefan Kramer
Margin-Based First-Order Rule Learning. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:46-48 [Conf]
- Érick Alphonse, Céline Rouveirol
Extension of the Top-Down Data-Driven Strategy to ILP. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:49-63 [Conf]
- Dalal Alrajeh, Oliver Ray, Alessandra Russo, Sebastián Uchitel
Extracting Requirements from Scenarios with ILP. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:64-78 [Conf]
- Margherita Berardi, Donato Malerba
Learning Recursive Patterns for Biomedical Information Extraction. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:79-93 [Conf]
- Hendrik Blockeel, Wannes Meert
Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:94-108 [Conf]
- Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg
Multi-class Prediction Using Stochastic Logic Programs. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:109-124 [Conf]
- Guillaume Cleuziou, Lionel Martin, Christel Vrain
Structuring Natural Language Data by Learning Rewriting Rules. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:125-138 [Conf]
- Koichiro Doi, Tetsuya Yamashita, Akihiro Yamamoto
An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:139-153 [Conf]
- Kerstin Eder, Peter A. Flach, Hsiou-Wen Hsueh
Towards Automating Simulation-Based Design Verification Using ILP. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:154-168 [Conf]
- Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana
Minimal Distance-Based Generalisation Operators for First-Order Objects. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:169-183 [Conf]
- Michel Ferreira, Nuno A. Fonseca, Ricardo Rocha, Tiago Soares
Efficient and Scalable Induction of Logic Programs Using a Deductive Database System. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:184-198 [Conf]
- Barnaby Fisher, James Cussens
Inductive Mercury Programming. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:199-213 [Conf]
- Daniel Fredouille, Christopher H. Bryant, Channa K. Jayawickreme, Steven Jupe, Simon Topp
An ILP Refinement Operator for Biological Grammar Learning. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:214-228 [Conf]
- Rocío García-Durán, Fernando Fernández, Daniel Borrajo
Combining Macro-operators with Control Knowledge. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:229-243 [Conf]
- Tamás Horváth, Björn Bringmann, Luc De Raedt
Frequent Hypergraph Mining. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:244-259 [Conf]
- Tomás Horváth, Peter Vojtás
Induction of Fuzzy and Annotated Logic Programs. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:260-274 [Conf]
- Ning Jiang, Simon Colton
Boosting Descriptive ILP for Predictive Learning in Bioinformatics. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:275-289 [Conf]
- Andreas Karwath, Kristian Kersting
Relational Sequence Alignments and Logos. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:290-304 [Conf]
- Francesca A. Lisi, Floriana Esposito
On the Missing Link Between Frequent Pattern Discovery and Concept Formation. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:305-319 [Conf]
- John W. Lloyd, Kee Siong Ng
Learning Modal Theories. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:320-334 [Conf]
- Jun-ichi Motoyama, Shinpei Urazawa, Tomofumi Nakano, Nobuhiro Inuzuka
A Mining Algorithm Using Property Items Extracted from Sampled Examples. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:335-350 [Conf]
- Stephen Muggleton, Niels Pahlavi
The Complexity of Translating BLPs to RMMs. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:351-365 [Conf]
- Irene M. Ong, Scott E. Topper, C. David Page Jr., Vítor Santos Costa
Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:366-378 [Conf]
- Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
ILP Through Propositionalization and Stochastic k-Term DNF Learning. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:379-393 [Conf]
- Olga Skvortsova
theta -Subsumption Based on Object Context. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:394-408 [Conf]
- Lucia Specia, Ashwin Srinivasan, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes
Word Sense Disambiguation Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:409-423 [Conf]
- Celine Vens, Jan Ramon, Hendrik Blockeel
ReMauve: A Relational Model Tree Learner. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:424-438 [Conf]
- Monika Záková, Filip Zelezný, Javier A. Garcia-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina
Relational Data Mining Applied to Virtual Engineering of Product Designs. [Citation Graph (0, 0)][DBLP]
ILP, 2006, pp:439-453 [Conf]
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