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Jan Ramon Vis

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*2009
50 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
49EEMarc 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
48EEJan 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
47EEKristien 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
46EELuc 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
43EEKurt De Grave, Jan Ramon, Luc De Raedt: Active Learning for High Throughput Screening. Discovery Science 2008: 185-196
42EELeander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. Discovery Science 2008: 197-209
41EELaura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs: Using Decision Trees as the Answer Networks in Temporal Difference-Networks. ECAI 2008: 847-848
40EETamás Horváth, Jan Ramon: Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth. ECML/PKDD (1) 2008: 520-535
39EEToon Calders, Jan Ramon, Dries Van Dyck: Anti-monotonic Overlap-Graph Support Measures. ICDM 2008: 73-82
38EEDaan 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)
37EEJan 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
35EEDaan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML 2007: 567-574
34EEJan Ramon, Kurt Driessens, Tom Croonenborghs: Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML 2007: 699-707
33EETom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: Online Learning and Exploiting Relational Models in Reinforcement Learning. IJCAI 2007: 726-731
32EEDaan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models Using Ordering-Search. ILP 2007: 24
31EELeander Schietgat, Jan Ramon, Maurice Bruynooghe: A Polynomial-time Metric for Outerplanar Graphs. MLG 2007
30EEJan Ramon, Siegfried Nijssen: General Graph Refinement with Polynomial Delay. MLG 2007
29EEJan 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
28EEJan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe: Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. ILP 2006: 40-42
27EECeline Vens, Jan Ramon, Hendrik Blockeel: ReMauve: A Relational Model Tree Learner. ILP 2006: 424-438
26EETamás Horváth, Jan Ramon, Stefan Wrobel: Frequent subgraph mining in outerplanar graphs. KDD 2006: 197-206
25EETamás Horváth, Jan Ramon, Stefan Wrobel: Frequent Subgraph Mining in Outerplanar Graphs. LWA 2006: 290-296
24EECeline Vens, Jan Ramon, Hendrik Blockeel: Refining Aggregate Conditions in Relational Learning. PKDD 2006: 383-394
23EEKurt 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
21EEDaan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: A Comparison of Approaches for Learning Probability Trees. ECML 2005: 556-563
20EEDaan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. ILP 2005: 121-135
19EETom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe: Multi-agent Relational Reinforcement Learning. LAMAS 2005: 192-206
2004
18EEJan 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
16EEJan 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
14EEThomas Gärtner, Kurt Driessens, Jan Ramon: Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP 2003: 146-163
2002
13EEJan Struyf, Jan Ramon, Hendrik Blockeel: Compact Representation of Knowledge Bases in ILP. ILP 2002: 254-269
12EEJan Ramon: Clustering and instance based learning in first order logic. AI Commun. 15(4): 217-218 (2002)
11EEHendrik 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
10EEKurt 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
9EEJan Ramon, Maurice Bruynooghe: A polynomial time computable metric between point sets. Acta Inf. 37(10): 765-780 (2001)
2000
8EEJan Ramon, Tom Francis, Hendrik Blockeel: Learning a Go Heuristic with TILDE. Computers and Games 2000: 151-169
7EEHendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Executing Query Packs in ILP. ILP 2000: 60-77
6EEJan Ramon, Luc Dehaspe: Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering. ILP Work-in-progress reports 2000
5EEHendrik Blockeel, Luc De Raedt, Jan Ramon: Top-down induction of clustering trees CoRR cs.LG/0011032: (2000)
1999
4EEShan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt: Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. ILP 1999: 245-256
3EEJan 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

Coauthor Index

1Jean-Marie Aerts [47]
2Laura-Andreea Antanas [41]
3Daniel Berckmans [47]
4Greet Vanden Berghe [29] [47]
5Hendrik Blockeel [2] [5] [7] [8] [10] [11] [13] [16] [20] [21] [22] [24] [27] [28] [29] [32] [33] [35] [37] [38] [42] [45] [47]
6Maurice Bruynooghe [1] [9] [16] [19] [20] [21] [22] [28] [29] [31] [32] [33] [35] [37] [38] [42] [47]
7Toon Calders [39]
8Fabrizio Costa [48] [50]
9Tom Croonenborghs [18] [19] [28] [33] [34] [37] [41] [44] [49]
10Luc Dehaspe [6] [7] [11]
11Bart Demoen [7] [11]
12Kurt Driessens [10] [14] [15] [23] [34] [41] [44] [49]
13Dries Van Dyck [39]
14Daan Fierens [20] [21] [22] [28] [29] [32] [35] [37] [38]
15Christophe Costa Florêncio [50]
16Tom Francis [8]
17Thomas Gärtner [14] [23]
18Robby Goetschalckx [36]
19Kurt De Grave [43]
20Fabián Güiza [29] [47]
21Tamás Horváth [25] [26] [40]
22Gerda Janssens [7] [11]
23Joost N. Kok [50]
24Wim Van Laer [4]
25Kristien Van Loon [47]
26Geert Meyfroidt [29] [47]
27Shan-Hwei Nienhuys-Cheng [4]
28Siegfried Nijssen [30]
29Marc J. V. Ponsen [44] [49]
30Luc De Raedt [2] [3] [4] [5] [17] [43] [46]
31Leander Schietgat [31] [42]
32Jude W. Shavlik [45]
33Jan Struyf [13] [16]
34Prasad Tadepalli [45]
35Karl Tuyls [19] [44] [49]
36Henk Vandecasteele [7] [11]
37Celine Vens [24] [27]
38Sofie Verbaeten [16]
39Stefan Wrobel [25] [26]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)