The SCEAS System
Navigation Menu

Search the dblp DataBase


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]

Search in 0.006secs, Finished in 0.008secs
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
System created by [] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002