| 2009 | ||
|---|---|---|
| 51 | Christophe Costa Florêncio, Fabrizio Costa, Jan Ramon, Joost N. Kok: Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, Paris, France, June 28, 2009 ACM 2009 | |
| 50 | Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens: Learning with whom to communicate using relational reinforcement learning. AAMAS (2) 2009: 1221-1222 | |
| 49 | Guy Van den Broeck, Kurt Driessens, Jan Ramon: Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. ACML 2009: 367-381 | |
| 48 | Jan Ramon, Fabrizio Costa: Handling missing values and censored data in PCA of pharmacological matrices. KDD Workshop on Statistical and Relational Learning in Bioinformatics 2009: 32-34 | |
| 47 | Kristien Van Loon, Fabián Güiza, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greet Vanden Berghe, Daniel Berckmans: Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability. MIE 2009: 590-594 | |
| 46 | Luc De Raedt, Jan Ramon: Deriving distance metrics from generality relations. Pattern Recognition Letters 30(3): 187-191 (2009) | |
| 2008 | ||
| 45 | Hendrik Blockeel, Jan Ramon, Jude W. Shavlik, Prasad Tadepalli: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers Springer 2008 | |
| 44 | Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls: Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. AAAI 2008: 1485-1486 | |
| 43 | Kurt De Grave, Jan Ramon, Luc De Raedt: Active Learning for High Throughput Screening. Discovery Science 2008: 185-196 | |
| 42 | Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. Discovery Science 2008: 197-209 | |
| 41 | Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs: Using Decision Trees as the Answer Networks in Temporal Difference-Networks. ECAI 2008: 847-848 | |
| 40 | Tamás Horváth, Jan Ramon: Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth. ECML/PKDD (1) 2008: 520-535 | |
| 39 | Toon Calders, Jan Ramon, Dries Van Dyck: Anti-monotonic Overlap-Graph Support Measures. ICDM 2008: 73-82 | |
| 38 | Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning directed probabilistic logical models: ordering-search versus structure-search. Ann. Math. Artif. Intell. 54(1-3): 99-133 (2008) | |
| 37 | Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe: Generalized ordering-search for learning directed probabilistic logical models. Machine Learning 70(2-3): 169-188 (2008) | |
| 2007 | ||
| 36 | Robby Goetschalckx, Jan Ramon: On Policy Learning in Restricted Policy Spaces. AAAI 2007: 1858-1859 | |
| 35 | Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML 2007: 567-574 | |
| 34 | Jan Ramon, Kurt Driessens, Tom Croonenborghs: Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML 2007: 699-707 | |
| 33 | Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: Online Learning and Exploiting Relational Models in Reinforcement Learning. IJCAI 2007: 726-731 | |
| 32 | Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models Using Ordering-Search. ILP 2007: 24 | |
| 31 | Leander Schietgat, Jan Ramon, Maurice Bruynooghe: A Polynomial-time Metric for Outerplanar Graphs. MLG 2007 | |
| 30 | Jan Ramon, Siegfried Nijssen: General Graph Refinement with Polynomial Delay. MLG 2007 | |
| 29 | Jan Ramon, Daan Fierens, Fabián Güiza, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greet Vanden Berghe: Mining data from intensive care patients. Advanced Engineering Informatics 21(3): 243-256 (2007) | |
| 2006 | ||
| 28 | Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe: Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. ILP 2006: 40-42 | |
| 27 | Celine Vens, Jan Ramon, Hendrik Blockeel: ReMauve: A Relational Model Tree Learner. ILP 2006: 424-438 | |
| 26 | Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent subgraph mining in outerplanar graphs. KDD 2006: 197-206 | |
| 25 | Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent Subgraph Mining in Outerplanar Graphs. LWA 2006: 290-296 | |
| 24 | Celine Vens, Jan Ramon, Hendrik Blockeel: Refining Aggregate Conditions in Relational Learning. PKDD 2006: 383-394 | |
| 23 | Kurt Driessens, Jan Ramon, Thomas Gärtner: Graph kernels and Gaussian processes for relational reinforcement learning. Machine Learning 64(1-3): 91-119 (2006) | |
| 2005 | ||
| 22 | Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. BNAIC 2005: 343-344 | |
| 21 | Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: A Comparison of Approaches for Learning Probability Trees. ECML 2005: 556-563 | |
| 20 | Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. ILP 2005: 121-135 | |
| 19 | Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe: Multi-agent Relational Reinforcement Learning. LAMAS 2005: 192-206 | |
| 2004 | ||
| 18 | Jan Ramon, Tom Croonenborghs: Searching for Compound Goals Using Relevancy Zones in the Game of Go. Computers and Games 2004: 113-128 | |
| 17 | Luc De Raedt, Jan Ramon: Condensed Representations for Inductive Logic Programming. KR 2004: 438-446 | |
| 16 | Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel: Compact Representation of Knowledge Bases in Inductive Logic Programming. Machine Learning 57(3): 305-333 (2004) | |
| 2003 | ||
| 15 | Kurt Driessens, Jan Ramon: Relational Instance Based Regression for Relational Reinforcement Learning. ICML 2003: 123-130 | |
| 14 | Thomas Gärtner, Kurt Driessens, Jan Ramon: Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP 2003: 146-163 | |
| 2002 | ||
| 13 | Jan Struyf, Jan Ramon, Hendrik Blockeel: Compact Representation of Knowledge Bases in ILP. ILP 2002: 254-269 | |
| 12 | Jan Ramon: Clustering and instance based learning in first order logic. AI Commun. 15(4): 217-218 (2002) | |
| 11 | Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs. J. Artif. Intell. Res. (JAIR) 16: 135-166 (2002) | |
| 2001 | ||
| 10 | Kurt Driessens, Jan Ramon, Hendrik Blockeel: Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. ECML 2001: 97-108 | |
| 9 | Jan Ramon, Maurice Bruynooghe: A polynomial time computable metric between point sets. Acta Inf. 37(10): 765-780 (2001) | |
| 2000 | ||
| 8 | Jan Ramon, Tom Francis, Hendrik Blockeel: Learning a Go Heuristic with TILDE. Computers and Games 2000: 151-169 | |
| 7 | Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Executing Query Packs in ILP. ILP 2000: 60-77 | |
| 6 | Jan Ramon, Luc Dehaspe: Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering. ILP Work-in-progress reports 2000 | |
| 5 | Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-down induction of clustering trees CoRR cs.LG/0011032: (2000) | |
| 1999 | ||
| 4 | Shan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt: Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. ILP 1999: 245-256 | |
| 3 | Jan Ramon, Luc De Raedt: Instance Based Function Learning. ILP 1999: 268-278 | |
| 1998 | ||
| 2 | Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-Down Induction of Clustering Trees. ICML 1998: 55-63 | |
| 1 | Jan Ramon, Maurice Bruynooghe: A Framework for Defining Distances Between First-Order Logic Objects. ILP 1998: 271-280 | |