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Luc De Raedt: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Luc De Raedt, Maurice Bruynooghe
    A Theory of Clausal Discovery. [Citation Graph (4, 0)][DBLP]
    IJCAI, 1993, pp:1058-1063 [Conf]
  2. Luc De Raedt, Saso Dzeroski
    First-Order jk-Clausal Theories are PAC-Learnable. [Citation Graph (4, 0)][DBLP]
    Artif. Intell., 1994, v:70, n:1-2, pp:375-392 [Journal]
  3. Luc De Raedt, Maurice Bruynooghe
    Belief Updating from Integrity Constraints and Queries. [Citation Graph (3, 0)][DBLP]
    Artif. Intell., 1992, v:53, n:2-3, pp:291-307 [Journal]
  4. Wim Van Laer, Luc Dehaspe, Luc De Raedt
    Applications of a Logical Discovery Engine. [Citation Graph (1, 0)][DBLP]
    KDD Workshop, 1994, pp:263-274 [Conf]
  5. Stephen Muggleton, Luc De Raedt
    Inductive Logic Programming: Theory and Methods. [Citation Graph (1, 0)][DBLP]
    J. Log. Program., 1994, v:19, n:, pp:629-679 [Journal]
  6. Niels Landwehr, Kristian Kersting, Luc De Raedt
    nFOIL: Integrating Naïve Bayes and FOIL. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:795-800 [Conf]
  7. Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
    kFOIL: Learning Simple Relational Kernels. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  8. 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]
  9. Wim Van Laer, Luc De Raedt
    How to Upgrade Propositional Learners to First Order Logic: A Case Study. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:102-126 [Conf]
  10. Gunther Sablon, Luc De Raedt, Maurice Bruynooghe
    Generalizing Multiple Examples in Explanation Based Learning. [Citation Graph (0, 0)][DBLP]
    AII, 1989, pp:177-183 [Conf]
  11. Luc De Raedt
    An Inductive Logic Programming Query Language for Database Mining. [Citation Graph (0, 0)][DBLP]
    AISC, 1998, pp:1-13 [Conf]
  12. Luc De Raedt, Kristian Kersting
    Probabilistic Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ALT, 2004, pp:19-36 [Conf]
  13. Luc De Raedt, Wim Van Laer
    Inductive Constraint Logic. [Citation Graph (0, 0)][DBLP]
    ALT, 1995, pp:80-94 [Conf]
  14. Luc De Raedt
    Data Mining as Constraint Logic Programming. [Citation Graph (0, 0)][DBLP]
    Computational Logic: Logic Programming and Beyond, 2002, pp:526-547 [Conf]
  15. Sau Dan Lee, Luc De Raedt
    Constraint Based Mining of First Order Sequences in SeqLog. [Citation Graph (0, 0)][DBLP]
    Database Support for Data Mining Applications, 2004, pp:154-173 [Conf]
  16. Luc De Raedt
    Towards Query Evaluation in Inductive Databases Using Version Spaces. [Citation Graph (0, 0)][DBLP]
    Database Support for Data Mining Applications, 2004, pp:117-134 [Conf]
  17. Albrecht Zimmermann, Luc De Raedt
    Inductive Querying for Discovering Subgroups and Clusters. [Citation Graph (0, 0)][DBLP]
    Constraint-Based Mining and Inductive Databases, 2004, pp:380-399 [Conf]
  18. Andrea Passerini, Paolo Frasconi, Luc De Raedt
    Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  19. Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton
    05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  20. Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton
    05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  21. Andreas Karwath, Luc De Raedt
    Predictive Graph Mining. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:1-15 [Conf]
  22. Christian Stolle, Andreas Karwath, Luc De Raedt
    CLASSIC'CL: An Integrated ILP System. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:354-362 [Conf]
  23. Albrecht Zimmermann, Luc De Raedt
    CorClass: Correlated Association Rule Mining for Classification. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2004, pp:60-72 [Conf]
  24. Hilde Adé, Luc De Raedt, Maurice Bruynooghe
    Inverse Resolution in an Integrated Inductive-Deductive Learning System. [Citation Graph (0, 0)][DBLP]
    ECAI, 1992, pp:456-457 [Conf]
  25. Luc De Raedt, Maurice Bruynooghe
    On Negation and Three-Valued Logic in Interactive Concept-Learning. [Citation Graph (0, 0)][DBLP]
    ECAI, 1990, pp:207-212 [Conf]
  26. Luc De Raedt
    Panel: Logic and Learnability. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:344- [Conf]
  27. Luc De Raedt, Maurice Bruynooghe
    On Interactive Concept-Learning and Assimilation. [Citation Graph (0, 0)][DBLP]
    EWSL, 1988, pp:167-176 [Conf]
  28. Luc De Raedt, Johan Feyaerts, Maurice Bruynooghe
    Acquiring Object-Knowledge for Learning Systems. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:245-264 [Conf]
  29. Luc De Raedt, Peter Idestam-Almquist, Gunther Sablon
    Theta-Subsumption for Structural Matching. [Citation Graph (0, 0)][DBLP]
    ECML, 1997, pp:73-84 [Conf]
  30. Ulrich Rückert, Stefan Kramer, Luc De Raedt
    Phase Transitions and Stochastic Local Search in k-Term DNF Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:405-417 [Conf]
  31. Albrecht Zimmermann, Luc De Raedt
    Cluster-Grouping: From Subgroup Discovery to Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:575-577 [Conf]
  32. Luc De Raedt
    Machine Learning for Verification and Validation. [Citation Graph (0, 0)][DBLP]
    EUROVAV, 1997, pp:4- [Conf]
  33. Sau Dan Lee, Luc De Raedt
    An Algebra for Inductive Query Evaluation. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:147-154 [Conf]
  34. Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila
    A Theory of Inductive Query Answering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:123-130 [Conf]
  35. Hendrik Blockeel, Luc De Raedt, Jan Ramon
    Top-Down Induction of Clustering Trees. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:55-63 [Conf]
  36. Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
    Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:136-143 [Conf]
  37. Kristian Kersting, Martijn Van Otterlo, Luc De Raedt
    Bellman goes relational. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  38. Stefan Kramer, Luc De Raedt
    Feature Construction with Version Spaces for Biochemical Applications. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:258-265 [Conf]
  39. Luc De Raedt, Maurice Bruynooghe
    Constructive Induction by Analogy. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:476-477 [Conf]
  40. Luc De Raedt, Maurice Bruynooghe, Bern Martens
    Integrity Constraints and Interactive Concept-Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:394-398 [Conf]
  41. Maurice Bruynooghe, Luc De Raedt, Danny De Schreye
    Explanation Based Program Transformation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:407-412 [Conf]
  42. Luc De Raedt, Maurice Bruynooghe
    Towards Friendly Concept-Learners. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:849-858 [Conf]
  43. Luc De Raedt, Stefan Kramer
    The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:853-862 [Conf]
  44. Luc De Raedt, Nada Lavrac, Saso Dzeroski
    Multiple Predicate Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1037-1043 [Conf]
  45. Gunther Sablon, Luc De Raedt
    Forgetting and Compacting data in Concept Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:432-438 [Conf]
  46. Gemma C. Garriga, Roni Khardon, Luc De Raedt
    On Mining Closed Sets in Multi-Relational Data. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:804-809 [Conf]
  47. Luc De Raedt, Angelika Kimmig, Hannu Toivonen
    ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2462-2467 [Conf]
  48. Niels Landwehr, Luc De Raedt
    r-grams: Relational Grams. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:907-912 [Conf]
  49. Erika Van Baelen, Luc De Raedt
    Analysis and Prediction of Piano Performances Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:55-71 [Conf]
  50. Hendrik Blockeel, Luc De Raedt
    Relational Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:199-211 [Conf]
  51. Hendrik Blockeel, Luc De Raedt
    Lookahead and Discretization in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:77-84 [Conf]
  52. Nico Jacobs, Kurt Driessens, Luc De Raedt
    Using ILP-Systems for Verification and Validation of Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:145-154 [Conf]
  53. Luc Dehaspe, Luc De Raedt
    Mining Association Rules in Multiple Relations. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:125-132 [Conf]
  54. Kristian Kersting, Luc De Raedt
    Bayesian Logic Programs. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  55. Kristian Kersting, Luc De Raedt
    Adaptive Bayesian Logic Programs. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:104-117 [Conf]
  56. Kristian Kersting, Luc De Raedt
    Towards Combining Inductive Logic Programming with Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:118-131 [Conf]
  57. 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]
  58. Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
    Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:11-22 [Conf]
  59. Shan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt
    Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:245-256 [Conf]
  60. Luc De Raedt
    A Logical Database Mining Query Language. [Citation Graph (0, 0)][DBLP]
    ILP, 2000, pp:78-92 [Conf]
  61. Luc De Raedt
    Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:1-8 [Conf]
  62. Luc De Raedt, Hendrik Blockeel
    Using Logical Decision Trees for Clustering. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:133-140 [Conf]
  63. Jan Ramon, Luc De Raedt
    Instance Based Function Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:268-278 [Conf]
  64. Hilde Adé, Bart Malfait, Luc De Raedt
    RUTH: an ILP Theory Revision System. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1994, pp:336-345 [Conf]
  65. Hendrik Blockeel, Luc De Raedt
    Inductive Database Design. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:376-385 [Conf]
  66. Luc Dehaspe, Luc De Raedt
    DLAB: A Declarative Language Bias Formalism. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:613-622 [Conf]
  67. Wim Van Laer, Luc De Raedt, Saso Dzeroski
    On Multi-class Problems and Discretization in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1997, pp:277-286 [Conf]
  68. Luc De Raedt
    PAC-Learning Logic Programs under the Closed-World Assumption. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:531-540 [Conf]
  69. Luc De Raedt, Nada Lavrac
    The Many Faces of Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1993, pp:435-449 [Conf]
  70. Luc De Raedt
    Database Mining and Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    JFPLC, 1999, pp:73-74 [Conf]
  71. Stefan Kramer, Luc De Raedt, Christoph Helma
    Molecular feature mining in HIV data. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:136-143 [Conf]
  72. Johannes Fischer, Luc De Raedt
    Towards Optimizing Conjunctive Inductive Queries. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:44-59 [Conf]
  73. Sau Dan Lee, Luc De Raedt
    Constraint Based Mining of First Order Sequences in SeqLog. [Citation Graph (0, 0)][DBLP]
    KDID, 2002, pp:76-92 [Conf]
  74. Sau Dan Lee, Luc De Raedt
    An Algebra for Inductive Query Evaluation. [Citation Graph (0, 0)][DBLP]
    KDID, 2003, pp:80-96 [Conf]
  75. Sau Dan Lee, Luc De Raedt
    An Efficient Algorithm for Mining String Databases Under Constraints. [Citation Graph (0, 0)][DBLP]
    KDID, 2004, pp:108-129 [Conf]
  76. Luc De Raedt, Jan Ramon
    Condensed Representations for Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    KR, 2004, pp:438-446 [Conf]
  77. Johannes Fischer, Luc De Raedt
    Towards Optimizing Conjunctive Inductive Queries. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2004, pp:625-637 [Conf]
  78. Kristian Kersting, Tapani Raiko, Luc De Raedt
    Logical Hidden Markov Models (Extendes abstract). [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  79. Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen
    Don't Be Afraid of Simpler Patterns. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:55-66 [Conf]
  80. Luc De Raedt
    Statistical Relational Learning: An Inductive Logic Programming Perspective. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:3-5 [Conf]
  81. Luc De Raedt, Hendrik Blockeel
    Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:590- [Conf]
  82. 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]
  83. Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt
    Inductive Verification and Validation of the KULRoT RoboCup Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:193-206 [Conf]
  84. Luc De Raedt
    A Brief Introduction to Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ILPS, 1993, pp:45-51 [Conf]
  85. Hendrik Blockeel, Luc De Raedt
    Isidd: An Interactive System for Inductive Database Design. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:5, pp:385-420 [Journal]
  86. Hendrik Blockeel, Luc De Raedt
    Top-Down Induction of First-Order Logical Decision Trees. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1998, v:101, n:1-2, pp:285-297 [Journal]
  87. Luc De Raedt
    Logical Settings for Concept-Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:95, n:1, pp:187-201 [Journal]
  88. Gunther Sablon, Luc De Raedt, Maurice Bruynooghe
    Iterative Versionspaces. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1994, v:69, n:1-2, pp:393-409 [Journal]
  89. Nada Lavrac, Luc De Raedt
    Inductive Logic Programming: A Survey of European Research. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1995, v:8, n:1, pp:3-19 [Journal]
  90. Luc De Raedt
    Artificial Intelligence in Belgium and the BeNeLux: Past and Future. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1997, v:10, n:3-4, pp:201-202 [Journal]
  91. Luc De Raedt, Johannes A. La Poutré, Floor Verdenius
    AI Research in the Benelux - Guest Editorial. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2000, v:13, n:1, pp:1-2 [Journal]
  92. Luc De Raedt, Maarten van Someren
    Benelearn: The First 10 Years. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2000, v:13, n:1, pp:3-4 [Journal]
  93. Kristian Kersting, Luc De Raedt
    Bayesian Logic Programs [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  94. Hendrik Blockeel, Luc De Raedt, Jan Ramon
    Top-down induction of clustering trees [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  95. Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen
    Scaling Up Inductive Logic Programming by Learning from Interpretations [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  96. Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen
    Scaling Up Inductive Logic Programming by Learning from Interpretations. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1999, v:3, n:1, pp:59-93 [Journal]
  97. Takashi Washio, Luc De Raedt, Joost N. Kok
    Advances in Mining Graphs, Trees and Sequences. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 2005, v:66, n:1-2, pp:- [Journal]
  98. Christoph Helma, Tobias Cramer, Stefan Kramer, Luc De Raedt
    Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:4, pp:1402-1411 [Journal]
  99. Luc De Raedt, Johan Feyaerts, Maurice Bruynooghe
    Acquiring object-knowledge. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 1992, v:4, n:3, pp:213-232 [Journal]
  100. Andrea Passerini, Paolo Frasconi, Luc De Raedt
    Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:307-342 [Journal]
  101. Hilde Adé, Luc De Raedt, Maurice Bruynooghe
    Declarative Bias for Specific-to-General ILP Systems. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1995, v:20, n:1-2, pp:119-154 [Journal]
  102. Saso Dzeroski, Luc De Raedt, Kurt Driessens
    Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:43, n:1/2, pp:7-52 [Journal]
  103. Luc De Raedt, Maurice Bruynooghe
    Interactive Concept-Learning and Constructive Induction by Analogy. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:8, n:, pp:107-150 [Journal]
  104. Luc De Raedt, Luc Dehaspe
    Clausal Discovery. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:26, n:2-3, pp:99-146 [Journal]
  105. Saso Dzeroski, Luc De Raedt
    Multi-Relational Data Mining: a Workshop Report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:122-124 [Journal]
  106. Saso Dzeroski, Luc De Raedt
    Multi-relational data mining: the current frontiers. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:100-101 [Journal]
  107. Saso Dzeroski, Luc De Raedt, Stefan Wrobel
    Multirelational data mining 2003: workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:2, pp:200-202 [Journal]
  108. Luc De Raedt
    A Perspective on Inductive Databases. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:4, n:2, pp:69-77 [Journal]
  109. Luc De Raedt, Kristian Kersting
    Probabilistic logic learning. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:31-48 [Journal]
  110. Angelika Kimmig, Luc De Raedt, Hannu Toivonen
    Probabilistic Explanation Based Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:176-187 [Conf]
  111. Tamás Horváth, Björn Bringmann, Luc De Raedt
    Frequent Hypergraph Mining. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:244-259 [Conf]
  112. 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]
  113. Siegfried Nijssen, Luc De Raedt
    IQL: A Proposal for an Inductive Query Language. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:189-207 [Conf]
  114. Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut
    Mining Bi-sets in Numerical Data. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:11-23 [Conf]
  115. Luc De Raedt, Albrecht Zimmermann
    Constraint-Based Pattern Set Mining. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  116. Tayfun Gürel, Luc De Raedt, Stefan Rotter
    Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1897-1901 [Journal]
  117. 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]

  118. Constraint Programming for Data Mining and Machine Learning. [Citation Graph (, )][DBLP]


  119. DTProbLog: A Decision-Theoretic Probabilistic Prolog. [Citation Graph (, )][DBLP]


  120. A query language for analyzing networks. [Citation Graph (, )][DBLP]


  121. 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. [Citation Graph (, )][DBLP]


  122. 08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. [Citation Graph (, )][DBLP]


  123. 08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. [Citation Graph (, )][DBLP]


  124. Active Learning for High Throughput Screening. [Citation Graph (, )][DBLP]


  125. ProbLog Technology for Inference in a Probabilistic First Order Logic. [Citation Graph (, )][DBLP]


  126. Constraint Programming for Data Mining. [Citation Graph (, )][DBLP]


  127. The Logic of Learning. [Citation Graph (, )][DBLP]


  128. On the Efficient Execution of ProbLog Programs. [Citation Graph (, )][DBLP]


  129. Probabilistic Logic Learning - A Tutorial Abstract. [Citation Graph (, )][DBLP]


  130. Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk). [Citation Graph (, )][DBLP]


  131. Local Query Mining in a Probabilistic Prolog. [Citation Graph (, )][DBLP]


  132. Predicting Spike Activity in Neuronal Cultures. [Citation Graph (, )][DBLP]


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


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


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


  136. Towards Clausal Discovery for Stream Mining. [Citation Graph (, )][DBLP]


  137. Constraint programming for itemset mining. [Citation Graph (, )][DBLP]


  138. Correlated itemset mining in ROC space: a constraint programming approach. [Citation Graph (, )][DBLP]


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


  140. A Simple Model for Sequences of Relational State Descriptions. [Citation Graph (, )][DBLP]


  141. Logic, Probability and Learning, or an Introduction to Statistical Relational Learning. [Citation Graph (, )][DBLP]


  142. Logical and Relational Learning. [Citation Graph (, )][DBLP]


  143. Grammar Mining. [Citation Graph (, )][DBLP]


  144. ProbLog and its Application to Link Mining in Biological Networks. [Citation Graph (, )][DBLP]


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


  146. An experimental evaluation of simplicity in rule learning. [Citation Graph (, )][DBLP]


  147. On the Implementation of the Probabilistic Logic Programming Language ProbLog [Citation Graph (, )][DBLP]


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