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Kristian Kersting: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Niels Landwehr, Kristian Kersting, Luc De Raedt
    nFOIL: Integrating Naïve Bayes and FOIL. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:795-800 [Conf]
  2. Luc De Raedt, Kristian Kersting, Sunna Torge
    Towards Learning Stochastic Logic Programs from Proof-Banks. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:752-757 [Conf]
  3. Luc De Raedt, Kristian Kersting
    Probabilistic Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ALT, 2004, pp:19-36 [Conf]
  4. Uwe Dick, Kristian Kersting
    Fisher Kernels for Relational Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:114-125 [Conf]
  5. Jörg Fischer, Kristian Kersting
    Scaled CGEM: A Fast Accelerated EM. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:133-144 [Conf]
  6. Bernd Gutmann, Kristian Kersting
    TildeCRF: Conditional Random Fields for Logical Sequences. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:174-185 [Conf]
  7. Kristian Kersting, Thomas Gärtner
    Fisher Kernels for Logical Sequences. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:205-216 [Conf]
  8. Kristian Kersting, Martijn Van Otterlo, Luc De Raedt
    Bellman goes relational. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  9. Kristian Kersting, Luc De Raedt
    Bayesian Logic Programs. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  10. Kristian Kersting, Luc De Raedt
    Adaptive Bayesian Logic Programs. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:104-117 [Conf]
  11. Kristian Kersting, Luc De Raedt
    Towards Combining Inductive Logic Programming with Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:118-131 [Conf]
  12. Kristian Kersting, Luc De Raedt
    Logical Markov Decision Programs and the Convergence of Logical TD(lambda). [Citation Graph (0, 0)][DBLP]
    ILP, 2004, pp:180-197 [Conf]
  13. Kristian Kersting, Niels Landwehr
    Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  14. Kristian Kersting, Tapani Raiko, Luc De Raedt
    Logical Hidden Markov Models (Extendes abstract). [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  15. Kristian Kersting, Uwe Dick
    Balios - The Engine for Bayesian Logic Programs. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:549-551 [Conf]
  16. Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt
    Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:192-203 [Conf]
  17. Kristian Kersting
    An inductive logic programming approach to statistical relational learning. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2006, v:19, n:4, pp:389-390 [Journal]
  18. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:26, n:1-2, pp:69-86 [Journal]
  19. Kristian Kersting, Luc De Raedt
    Bayesian Logic Programs [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  20. Luc De Raedt, Kristian Kersting
    Probabilistic logic learning. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:31-48 [Journal]
  21. Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard
    Most likely heteroscedastic Gaussian process regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:393-400 [Conf]
  22. Andreas Karwath, Kristian Kersting
    Relational Sequence Alignments and Logos. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:290-304 [Conf]
  23. Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen
    Revising Probabilistic Prolog Programs. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:30-33 [Conf]
  24. Kristian Kersting, Tapani Raiko
    "Say EM" for Selecting Probabilistic Models for Logical Sequences. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:300-307 [Conf]
  25. Kristian Kersting, Luc De Raedt, Tapani Raiko
    Logical Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2006, v:25, n:, pp:425-456 [Journal]

  26. Lifted Probabilistic Inference with Counting Formulas. [Citation Graph (, )][DBLP]


  27. Symbolic Dynamic Programming for First-order POMDPs. [Citation Graph (, )][DBLP]


  28. Informed Lifting for Message-Passing. [Citation Graph (, )][DBLP]


  29. Self-Taught Decision Theoretic Planning with First Order Decision Diagrams. [Citation Graph (, )][DBLP]


  30. 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. [Citation Graph (, )][DBLP]


  31. Boosting Relational Sequence Alignments. [Citation Graph (, )][DBLP]


  32. Convex Non-negative Matrix Factorization in the Wild. [Citation Graph (, )][DBLP]


  33. Stacked Gaussian Process Learning. [Citation Graph (, )][DBLP]


  34. Kernel Conditional Quantile Estimation via Reduction Revisited. [Citation Graph (, )][DBLP]


  35. Non-parametric policy gradients: a unified treatment of propositional and relational domains. [Citation Graph (, )][DBLP]


  36. Robust 3D Scan Point Classification using Associative Markov Networks. [Citation Graph (, )][DBLP]


  37. Multi-Relational Learning with Gaussian Processes. [Citation Graph (, )][DBLP]


  38. Generalized First Order Decision Diagrams for First Order Markov Decision Processes. [Citation Graph (, )][DBLP]


  39. Relational Sequence Learning. [Citation Graph (, )][DBLP]


  40. Probabilistic Inductive Logic Programming. [Citation Graph (, )][DBLP]


  41. Basic Principles of Learning Bayesian Logic Programs. [Citation Graph (, )][DBLP]


  42. SRL without Tears: An ILP Perspective. [Citation Graph (, )][DBLP]


  43. Logical Hierarchical Hidden Markov Models for Modeling User Activities. [Citation Graph (, )][DBLP]


  44. ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. [Citation Graph (, )][DBLP]


  45. Social Network Mining with Nonparametric Relational Models. [Citation Graph (, )][DBLP]


  46. Towards Engaging Games. [Citation Graph (, )][DBLP]


  47. Beyond 2D-grids: a dependence maximization view on image browsing. [Citation Graph (, )][DBLP]


  48. Parameter Learning in Probabilistic Databases: A Least Squares Approach. [Citation Graph (, )][DBLP]


  49. Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. [Citation Graph (, )][DBLP]


  50. Learning Preferences with Hidden Common Cause Relations. [Citation Graph (, )][DBLP]


  51. Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. [Citation Graph (, )][DBLP]


  52. Topic Models Conditioned on Relations. [Citation Graph (, )][DBLP]


  53. Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. [Citation Graph (, )][DBLP]


  54. Exploration in Relational Worlds. [Citation Graph (, )][DBLP]


  55. Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. [Citation Graph (, )][DBLP]


  56. Learning predictive terrain models for legged robot locomotion. [Citation Graph (, )][DBLP]


  57. Learning Relational Navigation Policies. [Citation Graph (, )][DBLP]


  58. Preface. [Citation Graph (, )][DBLP]


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