Jan Ramon

2009
45	EE	Luc De Raedt, Jan Ramon: Deriving distance metrics from generality relations. Pattern Recognition Letters 30(3): 187-191 (2009)
2008
44		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
43		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
42	EE	Kurt De Grave, Jan Ramon, Luc De Raedt: Active Learning for High Throughput Screening. Discovery Science 2008: 185-196
41	EE	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
40	EE	Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs: Using Decision Trees as the Answer Networks in Temporal Difference-Networks. ECAI 2008: 847-848
39	EE	Tamás Horváth, Jan Ramon: Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth. ECML/PKDD (1) 2008: 520-535
38	EE	Toon Calders, Jan Ramon, Dries Van Dyck: Anti-monotonic Overlap-Graph Support Measures. ICDM 2008: 73-82
37	EE	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	EE	Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML 2007: 567-574
34	EE	Jan Ramon, Kurt Driessens, Tom Croonenborghs: Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML 2007: 699-707
33	EE	Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: Online Learning and Exploiting Relational Models in Reinforcement Learning. IJCAI 2007: 726-731
32	EE	Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models Using Ordering-Search. ILP 2007: 24
31	EE	Leander Schietgat, Jan Ramon, Maurice Bruynooghe: A Polynomial-time Metric for Outerplanar Graphs. MLG 2007
30	EE	Jan Ramon, Siegfried Nijssen: General Graph Refinement with Polynomial Delay. MLG 2007
29	EE	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	EE	Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe: Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. ILP 2006: 40-42
27	EE	Celine Vens, Jan Ramon, Hendrik Blockeel: ReMauve: A Relational Model Tree Learner. ILP 2006: 424-438
26	EE	Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent subgraph mining in outerplanar graphs. KDD 2006: 197-206
25	EE	Tamás Horváth, Jan Ramon, Stefan Wrobel: Frequent Subgraph Mining in Outerplanar Graphs. LWA 2006: 290-296
24	EE	Celine Vens, Jan Ramon, Hendrik Blockeel: Refining Aggregate Conditions in Relational Learning. PKDD 2006: 383-394
23	EE	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	EE	Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: A Comparison of Approaches for Learning Probability Trees. ECML 2005: 556-563
20	EE	Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. ILP 2005: 121-135
19	EE	Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe: Multi-agent Relational Reinforcement Learning. LAMAS 2005: 192-206
2004
18	EE	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	EE	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	EE	Thomas Gärtner, Kurt Driessens, Jan Ramon: Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP 2003: 146-163
2002
13	EE	Jan Struyf, Jan Ramon, Hendrik Blockeel: Compact Representation of Knowledge Bases in ILP. ILP 2002: 254-269
12	EE	Jan Ramon: Clustering and instance based learning in first order logic. AI Commun. 15(4): 217-218 (2002)
11	EE	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	EE	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	EE	Jan Ramon, Maurice Bruynooghe: A polynomial time computable metric between point sets. Acta Inf. 37(10): 765-780 (2001)
2000
8	EE	Jan Ramon, Tom Francis, Hendrik Blockeel: Learning a Go Heuristic with TILDE. Computers and Games 2000: 151-169
7	EE	Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Executing Query Packs in ILP. ILP 2000: 60-77
6	EE	Jan Ramon, Luc Dehaspe: Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering. ILP Work-in-progress reports 2000
5	EE	Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-down induction of clustering trees CoRR cs.LG/0011032: (2000)
1999
4	EE	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	EE	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

Coauthor Index

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