Kristian Kersting

2008
44		Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
43		Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008
42		Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling: Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068
41	EE	Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt: Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) 2008: 473-488
40	EE	Christian Plagemann, Kristian Kersting, Wolfram Burgard: Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. ECML/PKDD (2) 2008: 204-219
39	EE	Andreas Karwath, Kristian Kersting, Niels Landwehr: Boosting Relational Sequence Alignments. ICDM 2008: 857-862
38	EE	Kristian Kersting, Kurt Driessens: Non-parametric policy gradients: a unified treatment of propositional and relational domains. ICML 2008: 456-463
37	EE	Sriraam Natarajan, Hung H. Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong: Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP 2008: 192-209
36	EE	Kristian Kersting: SRL without Tears: An ILP Perspective. ILP 2008: 2
35	EE	Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard: Learning predictive terrain models for legged robot locomotion. IROS 2008: 3545-3552
34	EE	Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. Probabilistic Inductive Logic Programming 2008: 1-27
33	EE	Kristian Kersting, Luc De Raedt: Basic Principles of Learning Bayesian Logic Programs. Probabilistic Inductive Logic Programming 2008: 189-221
32	EE	Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr: Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55
31	EE	Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Compressing probabilistic Prolog programs. Machine Learning 70(2-3): 151-168 (2008)
2007
30		Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007
29	EE	Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard: Most likely heteroscedastic Gaussian process regression. ICML 2007: 393-400
28	EE	Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
27	EE	Christian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard: Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. Robotics: Science and Systems 2007
2006
26	EE	Uwe Dick, Kristian Kersting: Fisher Kernels for Relational Data. ECML 2006: 114-125
25	EE	Bernd Gutmann, Kristian Kersting: TildeCRF: Conditional Random Fields for Logical Sequences. ECML 2006: 174-185
24		Rudolph Triebel, Kristian Kersting, Wolfram Burgard: Robust 3D Scan Point Classification using Associative Markov Networks. ICRA 2006: 2603-2608
23	EE	Andreas Karwath, Kristian Kersting: Relational Sequence Alignments and Logos. ILP 2006: 290-304
22	EE	Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Revising Probabilistic Prolog Programs. ILP 2006: 30-33
21	EE	Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt: Learning Relational Navigation Policies. IROS 2006: 2792-2797
20	EE	Kristian Kersting: An inductive logic programming approach to statistical relational learning. AI Commun. 19(4): 389-390 (2006)
19	EE	Kristian Kersting, Luc De Raedt, Tapani Raiko: Logical Hidden Markov Models. J. Artif. Intell. Res. (JAIR) 25: 425-456 (2006)
2005
18		Luc De Raedt, Kristian Kersting, Sunna Torge: Towards Learning Stochastic Logic Programs from Proof-Banks. AAAI 2005: 752-757
17		Niels Landwehr, Kristian Kersting, Luc De Raedt: nFOIL: Integrating Naïve Bayes and FOIL. AAAI 2005: 795-800
16	EE	Kristian Kersting, Tapani Raiko: "Say EM" for Selecting Probabilistic Models for Logical Sequences. UAI 2005: 300-307
2004
15	EE	Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. ALT 2004: 19-36
14	EE	Kristian Kersting, Thomas Gärtner: Fisher Kernels for Logical Sequences. ECML 2004: 205-216
13	EE	Kristian Kersting, Martijn Van Otterlo, Luc De Raedt: Bellman goes relational. ICML 2004
12	EE	Kristian Kersting, Luc De Raedt: Logical Markov Decision Programs and the Convergence of Logical TD(lambda). ILP 2004: 180-197
11	EE	Kristian Kersting, Uwe Dick: Balios - The Engine for Bayesian Logic Programs. PKDD 2004: 549-551
2003
10	EE	Jörg Fischer, Kristian Kersting: Scaled CGEM: A Fast Accelerated EM. ECML 2003: 133-144
9	EE	Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt: Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. Pacific Symposium on Biocomputing 2003: 192-203
8	EE	Luc De Raedt, Kristian Kersting: Probabilistic logic learning. SIGKDD Explorations 5(1): 31-48 (2003)
2002
7	EE	Kristian Kersting, Tapani Raiko, Luc De Raedt: Logical Hidden Markov Models (Extendes abstract). Probabilistic Graphical Models 2002
6	EE	Kristian Kersting, Niels Landwehr: Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm. Probabilistic Graphical Models 2002
5		Steven Ganzert, Josef Guttmann, Kristian Kersting, Ralf Kuhlen, Christian Putensen, Michael Sydow, Stefan Kramer: Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning. Artificial Intelligence in Medicine 26(1-2): 69-86 (2002)
2001
4	EE	Kristian Kersting, Luc De Raedt: Adaptive Bayesian Logic Programs. ILP 2001: 104-117
3	EE	Kristian Kersting, Luc De Raedt: Towards Combining Inductive Logic Programming with Bayesian Networks. ILP 2001: 118-131
2	EE	Kristian Kersting, Luc De Raedt: Bayesian Logic Programs CoRR cs.AI/0111058: (2001)
2000
1	EE	Kristian Kersting, Luc De Raedt: Bayesian Logic Programs. ILP Work-in-progress reports 2000

Coauthor Index

1	Hung H. Bui	[37]
2	Wolfram Burgard	[21] [24] [27] [29] [35] [40]
3	Alexandru Cocora	[21]
4	Uwe Dick	[11] [26]
5	Thomas G. Dietterich	[28] [44]
6	Kurt Driessens	[38]
7	Jörg Fischer	[10]
8	Paolo Frasconi	[30] [43]
9	Steven Ganzert	[5]
10	Thomas Gärtner	[14]
11	Lise Getoor	[28] [44]
12	Bernd Gutmann	[25] [32] [41]
13	Josef Guttmann	[5]
14	Michael Haimes	[42]
15	Leslie Pack Kaelbling	[42]
16	Andreas Karwath	[23] [32] [39]
17	Angelika Kimmig	[22] [31] [41]
18	Stefan Kramer	[5] [9]
19	Ralf Kuhlen	[5]
20	Niels Landwehr	[6] [17] [32] [39]
21	Brian Milch	[42]
22	Sebastian Mischke	[35]
23	Stephen Muggleton	[28] [43] [44]
24	Sriraam Natarajan	[37]
25	Martijn Van Otterlo	[13]
26	Patrick Pfaff	[27] [29]
27	Christian Plagemann	[21] [27] [29] [35] [40]
28	Sam Prentice	[35]
29	Christian Putensen	[5]
30	Luc De Raedt	[1] [2] [3] [4] [7] [8] [9] [12] [13] [15] [17] [18] [19] [21] [22] [28] [31] [32] [33] [34] [41] [43] [44]
31	Tapani Raiko	[7] [9] [16] [19]
32	Kate Revoredo	[22] [31]
33	Nicholas Roy	[35]
34	Michael Sydow	[5]
35	Prasad Tadepalli	[37]
36	Hannu Toivonen	[22] [31]
37	Sunna Torge	[18]
38	Rudolph Triebel	[24]
39	Koji Tsuda	[30]
40	Weng-Keen Wong	[37]
41	Luke S. Zettlemoyer	[42]

Colors in the list of coauthors