Kristian Kersting

2008
35		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
34		Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008
33	EE	Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. Probabilistic Inductive Logic Programming 2008: 1-27
32	EE	Kristian Kersting, Luc De Raedt: Basic Principles of Learning Bayesian Logic Programs. Probabilistic Inductive Logic Programming 2008: 189-221
31	EE	Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr: Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55
30	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
29		Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007
28	EE	Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard: Most likely heteroscedastic Gaussian process regression. ICML 2007: 393-400
27	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
26	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
25	EE	Uwe Dick, Kristian Kersting: Fisher Kernels for Relational Data. ECML 2006: 114-125
24	EE	Bernd Gutmann, Kristian Kersting: TildeCRF: Conditional Random Fields for Logical Sequences. ECML 2006: 174-185
23		Rudolph Triebel, Kristian Kersting, Wolfram Burgard: Robust 3D Scan Point Classification using Associative Markov Networks. ICRA 2006: 2603-2608
22	EE	Andreas Karwath, Kristian Kersting: Relational Sequence Alignments and Logos. ILP 2006: 290-304
21	EE	Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Revising Probabilistic Prolog Programs. ILP 2006: 30-33
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	Wolfram Burgard	[23] [26] [28]
2	Uwe Dick	[11] [25]
3	Thomas G. Dietterich	[27] [35]
4	Jörg Fischer	[10]
5	Paolo Frasconi	[29] [34]
6	Steven Ganzert	[5]
7	Thomas Gärtner	[14]
8	Lise Getoor	[27] [35]
9	Bernd Gutmann	[24] [31]
10	Josef Guttmann	[5]
11	Andreas Karwath	[22] [31]
12	Angelika Kimmig	[21] [30]
13	Stefan Kramer	[5] [9]
14	Ralf Kuhlen	[5]
15	Niels Landwehr	[6] [17] [31]
16	Stephen Muggleton	[27] [34] [35]
17	Martijn Van Otterlo	[13]
18	Patrick Pfaff	[26] [28]
19	Christian Plagemann	[26] [28]
20	Christian Putensen	[5]
21	Luc De Raedt	[1] [2] [3] [4] [7] [8] [9] [12] [13] [15] [17] [18] [19] [21] [27] [30] [31] [32] [33] [34] [35]
22	Tapani Raiko	[7] [9] [16] [19]
23	Kate Revoredo	[21] [30]
24	Michael Sydow	[5]
25	Hannu Toivonen	[21] [30]
26	Sunna Torge	[18]
27	Rudolph Triebel	[23]
28	Koji Tsuda	[29]

Colors in the list of coauthors