ILP B

29 papers

YearTitle / Authors
2008Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers
Hendrik Blockeel, Jan Ramon, Jude W. Shavlik, Prasad Tadepalli
2007A Phase Transition-Based Perspective on Multiple Instance Kernels.
Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols
2007A Refinement Operator Based Learning Algorithm for the
Jens Lehmann, Pascal Hitzler
2007A Relational Hierarchical Model for Decision-Theoretic Assistance.
Sriraam Natarajan, Prasad Tadepalli, Alan Fern
2007An Inductive Learning System for XML Documents.
Xiaobing Wu
2007Applying Inductive Logic Programming to Process Mining.
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Sergio Storari
2007Beyond Prediction: Directions for Probabilistic and Relational Learning.
David D. Jensen
2007Bias/Variance Analysis for Relational Domains.
Jennifer Neville, David D. Jensen
2007Building Relational World Models for Reinforcement Learning.
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richard Maclin
2007Clustering Relational Data Based on Randomized Propositionalization.
Grant Anderson, Bernhard Pfahringer
2007Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates.
Mark H. Goadrich, Jude W. Shavlik
2007Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification.
Aram Galstyan, Paul R. Cohen
2007Foundations of Refinement Operators for Description Logics.
Jens Lehmann, Pascal Hitzler
2007ILP : - Just Trie It.
Rui Camacho, Nuno A. Fonseca, Ricardo Rocha, Vítor Santos Costa
2007Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases.
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2007Learning Declarative Bias.
Will Bridewell, Ljupco Todorovski
2007Learning Directed Probabilistic Logical Models Using Ordering-Search.
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2007Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract).
Jianzhong Chen, Stephen H. Muggleton, Jose Santos
2007Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning.
Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe
2007Learning to Assign Degrees of Belief in Relational Domains.
Frédéric Koriche
2007Learning with Kernels and Logical Representations.
Paolo Frasconi
2007Mining of Frequent Block Preserving Outerplanar Graph Structured Patterns.
Yosuke Sasaki, Hitoshi Yamasaki, Takayoshi Shoudai, Tomoyuki Uchida
2007Mode-Directed Inverse Entailment for Full Clausal Theories.
Oliver Ray, Katsumi Inoue
2007Relational Macros for Transfer in Reinforcement Learning.
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2007Revising First-Order Logic Theories from Examples Through Stochastic Local Search.
Aline Paes, Gerson Zaverucha, Vítor Santos Costa
2007Seeing the Forest Through the Trees.
Anneleen Van Assche, Hendrik Blockeel
2007Structural Statistical Software Testing with Active Learning in a Graph.
Nicolas Baskiotis, Michèle Sebag
2007Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming.
Louis Oliphant, Jude W. Shavlik
2007Using ILP to Construct Features for Information Extraction from Semi-structured Text.
Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Balakrishnan, Ashwin Srinivasan