2009 | ||
---|---|---|
52 | Kristian Kersting, Zhao Xu: Learning Preferences with Hidden Common Cause Relations. ECML/PKDD (1) 2009: 676-691 | |
51 | Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz: Stacked Gaussian Process Learning. ICDM 2009: 387-396 | |
50 | Christian Thurau, Kristian Kersting, Christian Bauckhage: Convex Non-negative Matrix Factorization in the Wild. ICDM 2009: 523-532 | |
49 | Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine: Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM 2009: 938-943 | |
48 | Zhao Xu, Kristian Kersting, Volker Tresp: Multi-Relational Learning with Gaussian Processes. IJCAI 2009: 1309-1314 | |
47 | Saket Joshi, Kristian Kersting, Roni Khardon: Generalized First Order Decision Diagrams for First Order Markov Decision Processes. IJCAI 2009: 1916-1921 | |
2008 | ||
46 | 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 | |
45 | Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008 | |
44 | Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling: Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068 | |
43 | Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt: Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) 2008: 473-488 | |
42 | Christian Plagemann, Kristian Kersting, Wolfram Burgard: Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. ECML/PKDD (2) 2008: 204-219 | |
41 | Andreas Karwath, Kristian Kersting, Niels Landwehr: Boosting Relational Sequence Alignments. ICDM 2008: 857-862 | |
40 | Kristian Kersting, Kurt Driessens: Non-parametric policy gradients: a unified treatment of propositional and relational domains. ICML 2008: 456-463 | |
39 | 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 | |
38 | Kristian Kersting: SRL without Tears: An ILP Perspective. ILP 2008: 2 | |
37 | Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard: Learning predictive terrain models for legged robot locomotion. IROS 2008: 3545-3552 | |
36 | Olana Missura, Kristian Kersting, Thomas Gärtner: Towards Engaging Games. LWA 2008: 77-83 | |
35 | Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. Probabilistic Inductive Logic Programming 2008: 1-27 | |
34 | Kristian Kersting, Luc De Raedt: Basic Principles of Learning Bayesian Logic Programs. Probabilistic Inductive Logic Programming 2008: 189-221 | |
33 | Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr: Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55 | |
32 | Manfred Jaeger, Lise Getoor, Kristian Kersting: Preface. Ann. Math. Artif. Intell. 54(1-3): 1-2 (2008) | |
31 | 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 | Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard: Most likely heteroscedastic Gaussian process regression. ICML 2007: 393-400 | |
28 | 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 | 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 | Uwe Dick, Kristian Kersting: Fisher Kernels for Relational Data. ECML 2006: 114-125 | |
25 | 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 | Andreas Karwath, Kristian Kersting: Relational Sequence Alignments and Logos. ILP 2006: 290-304 | |
22 | Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Revising Probabilistic Prolog Programs. ILP 2006: 30-33 | |
21 | Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt: Learning Relational Navigation Policies. IROS 2006: 2792-2797 | |
20 | Kristian Kersting: An inductive logic programming approach to statistical relational learning. AI Commun. 19(4): 389-390 (2006) | |
19 | 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 | Kristian Kersting, Tapani Raiko: "Say EM" for Selecting Probabilistic Models for Logical Sequences. UAI 2005: 300-307 | |
2004 | ||
15 | Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. ALT 2004: 19-36 | |
14 | Kristian Kersting, Thomas Gärtner: Fisher Kernels for Logical Sequences. ECML 2004: 205-216 | |
13 | Kristian Kersting, Martijn van Otterlo, Luc De Raedt: Bellman goes relational. ICML 2004 | |
12 | Kristian Kersting, Luc De Raedt: Logical Markov Decision Programs and the Convergence of Logical TD(lambda). ILP 2004: 180-197 | |
11 | Kristian Kersting, Uwe Dick: Balios - The Engine for Bayesian Logic Programs. PKDD 2004: 549-551 | |
2003 | ||
10 | Jörg Fischer, Kristian Kersting: Scaled CGEM: A Fast Accelerated EM. ECML 2003: 133-144 | |
9 | 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 | Luc De Raedt, Kristian Kersting: Probabilistic logic learning. SIGKDD Explorations 5(1): 31-48 (2003) | |
2002 | ||
7 | Kristian Kersting, Tapani Raiko, Luc De Raedt: Logical Hidden Markov Models (Extendes abstract). Probabilistic Graphical Models 2002 | |
6 | 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 | Kristian Kersting, Luc De Raedt: Adaptive Bayesian Logic Programs. ILP 2001: 104-117 | |
3 | Kristian Kersting, Luc De Raedt: Towards Combining Inductive Logic Programming with Bayesian Networks. ILP 2001: 118-131 | |
2 | Kristian Kersting, Luc De Raedt: Bayesian Logic Programs CoRR cs.AI/0111058: (2001) | |
2000 | ||
1 | Kristian Kersting, Luc De Raedt: Bayesian Logic Programs. ILP Work-in-progress reports 2000 |