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| 2012 | ||
|---|---|---|
| 99 | Kristian Kersting, Babak Ahmadi, Sriraam Natarajan: Counting Belief Propagation CoRR abs/1205.2637: (2012) | |
| 98 | Christian Thurau, Kristian Kersting, Mirwaes Wahabzada, Christian Bauckhage: Descriptive matrix factorization for sustainability Adopting the principle of opposites. Data Min. Knowl. Discov. 24(2): 325-354 (2012) | |
| 97 | Christian Bauckhage, Kristian Kersting, Albrecht Schmidt: Agriculture's Technological Makeover. IEEE Pervasive Computing 11(2): 4-7 (2012) | |
| 96 | Martin Schiegg, Marion Neumann, Kristian Kersting: Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data. Journal of Machine Learning Research - Proceedings Track 22: 1002-1011 (2012) | |
| 95 | Martin Mladenov, Babak Ahmadi, Kristian Kersting: Lifted Linear Programming. Journal of Machine Learning Research - Proceedings Track 22: 788-797 (2012) | |
| 94 | Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann, Jude W. Shavlik: Gradient-based boosting for statistical relational learning: The relational dependency network case. Machine Learning 86(1): 25-56 (2012) | |
| 2011 | ||
| 93 | Marion Neumann, Babak Ahmadi, Kristian Kersting: Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation. AAAI 2011 | |
| 92 | Mirwaes Wahabzada, Kristian Kersting, Anja Pilz, Christian Bauckhage: More influence means less work: fast latent dirichlet allocation by influence scheduling. CIKM 2011: 2273-2276 | |
| 91 | Mirwaes Wahabzada, Kristian Kersting: Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation. ECML/PKDD (3) 2011: 475-490 | |
| 90 | Kristian Kersting: Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning. EWRL 2011: 2 | |
| 89 | Ahmed Jawad, Kristian Kersting, Natalia V. Andrienko: Where traffic meets DNA: mobility mining using biological sequence analysis revisited. GIS 2011: 357-360 | |
| 88 | Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik: Learning Markov Logic Networks via Functional Gradient Boosting. ICDM 2011: 320-329 | |
| 87 | Zhao Xu, Kristian Kersting: Multi-task Learning with Task Relations. ICDM 2011: 884-893 | |
| 86 | Babak Ahmadi, Kristian Kersting, Scott Sanner: Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter. IJCAI 2011: 1152-1158 | |
| 85 | Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach. IJCAI 2011: 1414-1420 | |
| 84 | Fabian Hadiji, Babak Ahmadi, Kristian Kersting: Efficient Sequential Clamping for Lifted Message Passing. KI 2011: 122-133 | |
| 83 | Saket Joshi, Kristian Kersting, Roni Khardon: Decision-theoretic planning with generalized first-order decision diagrams. Artif. Intell. 175(18): 2198-2222 (2011) | |
| 82 | Luc De Raedt, Kristian Kersting, Tapani Raiko: Logical Hidden Markov Models CoRR abs/1109.2148: (2011) | |
| 81 | Albrecht Schmidt, Marc Langheinrich, Kristian Kersting: Perception beyond the Here and Now. IEEE Computer 44(2): 86-88 (2011) | |
| 80 | Christian Thurau, Kristian Kersting, Mirwaes Wahabzada, Christian Bauckhage: Convex non-negative matrix factorization for massive datasets. Knowl. Inf. Syst. 29(2): 457-478 (2011) | |
| 79 | Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting, Xifeng Yan: Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Machine Learning 83(2): 133-135 (2011) | |
| 2010 | ||
| 78 | Kristian Kersting, Youssef El Massaoudi, Fabian Hadiji, Babak Ahmadi: Informed Lifting for Message-Passing. AAAI 2010 | |
| 77 | Scott Sanner, Kristian Kersting: Symbolic Dynamic Programming for First-order POMDPs. AAAI 2010 | |
| 76 | Christian Thurau, Kristian Kersting, Christian Bauckhage: Yes we can: simplex volume maximization for descriptive web-scale matrix factorization. CIKM 2010: 1785-1788 | |
| 75 | Tobias Lang, Marc Toussaint, Kristian Kersting: Exploration in Relational Worlds. ECML/PKDD (2) 2010: 178-194 | |
| 74 | Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. ECML/PKDD (2) 2010: 434-450 | |
| 73 | Mirwaes Wahabzada, Zhao Xu, Kristian Kersting: Topic Models Conditioned on Relations. ECML/PKDD (3) 2010: 402-417 | |
| 72 | Zhao Xu, Kristian Kersting, Thorsten Joachims: Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. ECML/PKDD (3) 2010: 499-514 | |
| 71 | Ahmed Jawad, Kristian Kersting: Kernelized map matching. GIS 2010: 454-457 | |
| 70 | Saket Joshi, Kristian Kersting, Roni Khardon: Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. ICAPS 2010: 89-96 | |
| 69 | Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Multi-Agent Inverse Reinforcement Learning. ICMLA 2010: 395-400 | |
| 68 | Jens Behley, Kristian Kersting, Dirk Schulz, Volker Steinhage, Armin B. Cremers: Learning to hash logistic regression for fast 3D scan point classification. IROS 2010: 5960-5965 | |
| 67 | Novi Quadrianto, Kristian Kersting, Tinne Tuytelaars, Wray L. Buntine: Beyond 2D-grids: a dependence maximization view on image browsing. Multimedia Information Retrieval 2010: 339-348 | |
| 66 | Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik: Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. Statistical Relational Artificial Intelligence 2010 | |
| 65 | Fabian Hadiji, Kristian Kersting, Babak Ahmadi: Lifted Message Passing for Satisfiability. Statistical Relational Artificial Intelligence 2010 | |
| 64 | Novi Quadrianto, Kristian Kersting, Zhao Xu: Gaussian Process. Encyclopedia of Machine Learning 2010: 428-439 | |
| 63 | Luc De Raedt, Kristian Kersting: Statistical Relational Learning. Encyclopedia of Machine Learning 2010: 916-924 | |
| 62 | Scott Sanner, Kristian Kersting: Symbolic Dynamic Programming. Encyclopedia of Machine Learning 2010: 946-954 | |
| 61 | David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell, Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart J. Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan: Reports of the AAAI 2010 Conference Workshops. AI Magazine 31(4): 95-108 (2010) | |
| 60 | Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage: Hierarchical Convex NMF for Clustering Massive Data. Journal of Machine Learning Research - Proceedings Track 13: 253-268 (2010) | |
| 2009 | ||
| 59 | Kristian Kersting, Zhao Xu: Learning Preferences with Hidden Common Cause Relations. ECML/PKDD (1) 2009: 676-691 | |
| 58 | Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz: Stacked Gaussian Process Learning. ICDM 2009: 387-396 | |
| 57 | Christian Thurau, Kristian Kersting, Christian Bauckhage: Convex Non-negative Matrix Factorization in the Wild. ICDM 2009: 523-532 | |
| 56 | Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine: Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM 2009: 938-943 | |
| 55 | Zhao Xu, Kristian Kersting, Volker Tresp: Multi-Relational Learning with Gaussian Processes. IJCAI 2009: 1309-1314 | |
| 54 | Saket Joshi, Kristian Kersting, Roni Khardon: Generalized First Order Decision Diagrams for First Order Markov Decision Processes. IJCAI 2009: 1916-1921 | |
| 53 | Hannes Schulz, Kristian Kersting, Andreas Karwath: ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. ILP 2009: 209-216 | |
| 52 | Kristian Kersting, Babak Ahmadi, Sriraam Natarajan: Counting Belief Propagation. UAI 2009: 277-284 | |
| 51 | Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard: A Bayesian regression approach to terrain mapping and an application to legged robot locomotion. J. Field Robotics 26(10): 789-811 (2009) | |
| 2008 | ||
| 50 | 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 | |
| 49 | Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008 | |
| 48 | Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling: Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068 | |
| 47 | Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt: Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) 2008: 473-488 | |
| 46 | Christian Plagemann, Kristian Kersting, Wolfram Burgard: Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. ECML/PKDD (2) 2008: 204-219 | |
| 45 | Andreas Karwath, Kristian Kersting, Niels Landwehr: Boosting Relational Sequence Alignments. ICDM 2008: 857-862 | |
| 44 | Kristian Kersting, Kurt Driessens: Non-parametric policy gradients: a unified treatment of propositional and relational domains. ICML 2008: 456-463 | |
| 43 | Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong: Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP 2008: 192-209 | |
| 42 | Kristian Kersting: SRL without Tears: An ILP Perspective. ILP 2008: 2 | |
| 41 | Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard: Learning predictive terrain models for legged robot locomotion. IROS 2008: 3545-3552 | |
| 40 | Olana Missura, Kristian Kersting, Thomas Gärtner: Towards Engaging Games. LWA 2008: 77-83 | |
| 39 | Luc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. Probabilistic Inductive Logic Programming 2008: 1-27 | |
| 38 | Kristian Kersting, Luc De Raedt: Basic Principles of Learning Bayesian Logic Programs. Probabilistic Inductive Logic Programming 2008: 189-221 | |
| 37 | Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr: Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55 | |
| 36 | Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting: Social Network Mining with Nonparametric Relational Models. SNAKDD 2008: 77-96 | |
| 35 | Manfred Jaeger, Lise Getoor, Kristian Kersting: Preface. Ann. Math. Artif. Intell. 54(1-3): 1-2 (2008) | |
| 34 | Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Compressing probabilistic Prolog programs. Machine Learning 70(2-3): 151-168 (2008) | |
| 2007 | ||
| 33 | Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007 | |
| 32 | Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard: Most likely heteroscedastic Gaussian process regression. ICML 2007: 393-400 | |
| 31 | 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 | |
| 30 | Christian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard: Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. Robotics: Science and Systems 2007 | |
| 29 | Niels Landwehr, Kristian Kersting, Luc De Raedt: Integrating Naïve Bayes and FOIL. Journal of Machine Learning Research 8: 481-507 (2007) | |
| 2006 | ||
| 28 | Uwe Dick, Kristian Kersting: Fisher Kernels for Relational Data. ECML 2006: 114-125 | |
| 27 | Bernd Gutmann, Kristian Kersting: TildeCRF: Conditional Random Fields for Logical Sequences. ECML 2006: 174-185 | |
| 26 | Rudolph Triebel, Kristian Kersting, Wolfram Burgard: Robust 3D Scan Point Classification using Associative Markov Networks. ICRA 2006: 2603-2608 | |
| 25 | Andreas Karwath, Kristian Kersting: Relational Sequence Alignments and Logos. ILP 2006: 290-304 | |
| 24 | Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Revising Probabilistic Prolog Programs. ILP 2006: 30-33 | |
| 23 | Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt: Learning Relational Navigation Policies. IROS 2006: 2792-2797 | |
| 22 | Kristian Kersting: An inductive logic programming approach to statistical relational learning. AI Commun. 19(4): 389-390 (2006) | |
| 21 | Kristian Kersting, Luc De Raedt, Tapani Raiko: Logical Hidden Markov Models. J. Artif. Intell. Res. (JAIR) 25: 425-456 (2006) | |
| 20 | Kristian Kersting: An inductive logic programming approach to statistical relational learning. University of Freiburg 2006: 1-228 | |
| 2005 | ||
| 19 | Kristian Kersting: An Inductive Logic Programming Approach to Statistical Relational Learning IOS Press 2005: 1-228 | |
| 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 | |
Colors in the list of coauthors
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