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Conferences

2006

  • U. Dick K. Kersting. Fisher Kernels for Relational Data. To appear in J. F�rnkranz, T. Scheffer, M. Spiliopoulou, editors, Proceedings of the 15th European Conference on Machine Learning (ECML-2006), Berlin, Germany, September 18-22, 2006.
  • B. Gutmann, K. Kersting. TildeCRF: Conditional Random Fields for Logical Sequences. To appear in J. F�rnkranz, T. Scheffer, M. Spiliopoulou, editors, Proceedings of the 15th European Conference on Machine Learning (ECML-2006), Berlin, Germany, September 18-22, 2006.
  • A. Cocura, K. Kersting, C. Plageman, W. Burgard, L. De Raedt. Learning Relational Navigation Policies. To appear in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-06), Bejing, China, October 9-15, 2006
  • N. Landwehr, A. Passerini, A., L. De Raedt, and P. Frasconi, (2006). kFOIL: Kearning SImple Relational Kernels. In Gil, Y. and Mooney, R., editors, Proc. Twenty-First National Conference on Artificial Intelligence (AAAI-06)
  • R. Triebel. K. Kersting. W. Burgard. Robust 3D Scan Point Classification using Associative Markov Networks. In N. Papanikolopoulos, editor, IEEE International Conference on Robotics and Automation (ICRA-06), Walt Disney World Resort in Orlando, Florida, USA, May 15-19, 2006.

2005

  • F. Afrati, G. Das, A. Gionis, H. Mannila, T.Mielikäinen,P. Tsaparas. Mining chains of relations. In Proceedings of The FifthIEEE International Conference on Data Mining, Houston, Texas, USA, November 27-30, 2005. IEEE Computer Society, 2005.
  • A. Rantanen, T. Mielikäinen, J. Rousu, E. Ukkonen. Planning isotopomer measurements for estimation of metabolic fluxes. In: Proceedings of the German Conference on Bioinformatics, Hamburg, Germany, October 5-7 , 2005, pages 177-191. 2005.
  • L. Calzone, N. Chabrier-Rivier, F. Fages, S. Soliman. A Machine Learning approach to Biochemical Reaction Rules Discovery. In F. J. Doyle III, editor, Proceeding of of Foundations of Systems Biology and Engineering (FOSBE 05), pages 375-379, Santa Barbara, USA, 2005.
  • P. Rastas, M. Koivisto, H. Mannila, E. Ukkonen: A hidden Markov technique for haplotype reconstruction. In: R. Casadio and G. Myers(eds.), Algorithms in Bioinformatics: 5th International Workshop, WABI2005, Lecture Notes in Computer Science, 3692, pp. 140-151, Springer, 2005.
  • S. Menchetti and F. Costa and P. Frasconi. Weighted Decomposition Kernels. In, L. De Raedt and S. Wroble, Proceedings of the International Conference on Machine Learning (ICML'05), Bonn, Germany, 2005.
  • L. Calzone, N. Chabrier-Rivier, F. Fages, S. Soliman. Apprentissage de regles de reactions biochimiques a partir de proprietes en logique temporelle. In G. Perriere, A. Guenoche, C. Geourjon, eds., Actes de JOBIM 05, pages 183-192, Lyon, France, July 2005.
  • N. Angelopoulos and J. Cussens. Tempering for Bayesian C&RT. In Proceedings of the 22nd International Conference on Machine Learning (ICML05), Bonn, Germany, 2005.
  • S.H. Muggleton. Machine learning for systems biology. In Proceedings of the 15th International Conference on Inductive Logic Programming, LNAI 3625, pages 416-423. Springer-Verlag, 2005.
  • A. Passerini, P. Frasconi. Kernels on Prolog Ground Terms. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'05). Edinburgh, Scotland, 2005.
  • F. Fages. Temporal logic constraints in the biochemical abstract machine BIOCHAM. In Proceedings of LOPSTR'05, Imperial College, London, UK. (Invited Talk).
  • L. De Raedt: Statistical Relational Learning: An Inductive Logic Programming Perspective. In Proceedings of 9th European Conference on Principles and Practice of Knowledge Discovery in Databases ( PKDD 2005), pages 3-5, LNCS 3721, Springer, Port Portugal, October 3-7, 2005.
  • S.H. Muggleton, H. Lodhi, A. Amini, and M.J.E. Sternberg. Support Vector Inductive Logic Programming. In Proceedings of the 8th International Conference on Discovery Science (DS-05), LNAI 3735, pages 163-175. Springer-Verlag, 2005.
  • F. Fages. Biologie formelle dans la machine abstraite biochimique BIOCHAM. Proc. Journees Francophones des Langages Applicatifs, JFLA'05, On invitation
  • H. Watanabe and S.H. Muggleton. Learning Stochastic Logical Automaton.In Proceedings of the 19th Annual Conferences of JSAI, "New Frontiers in Artificial Intelligence", LNAI, Spinger, 2005.
  • K.Kersting, T. Raiko. 'Say EM' for Selecting Probabilistic Models for Logical Sequences. In F. Bacchus and T. Jaakkola, editors, Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI-05), Edinburgh, Scotland, July 26-29, 2005.
  • N. Landwehr, K. Kersting, L. De Raedt. nFOIL: Integrating Naive Bayes and FOIL. In M. Veloso and S. Kambhampati, editors, Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), pages 795-800, Pittsburgh, Pennsylvania, USA, July 9-13, 2005.
  • L. De Raedt, K. Kersting, S. Torge. Towards Learning Stochastic Logic Programs from Proof-Banks. In M. Veloso and S. Kambhampati, editors, Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), pages 752-757, Pittsburgh, Pennsylvania, USA, July 9-13, 2005.
  • A. Passerini, P. Frasconi, L. De Raedt. Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. ICML '05 Workshop on Approaches and Applications of Inductive Programming, 2005.
  • A. Passerini, P. Frasconi, L. De Raedt. Kernels for Logic Proof Trees. In Proceedings of Dagstuhl Seminar 05051: Probabilistic, Logical and Relational Learning --- Towards a Synthesis, Dagstuhl, Germany, 2005. On invitation.
  • P. Frasconi, A. Passerini, S. Muggleton, H. Lodhi. Declarative Kernels. In S. Kramer and B. Pfahringer, eds., Late-Breaking Papers of the 15th International Conference on inductive Logic Programming (ILP 05), Bonn, Germany, 2005.

2004

  • S. Soliman, F. Fages. CMBSlib: a Library for Comparing Formalisms and Models of Biological Systems. In V. Danos and V. Schächter, editors, Proceedings of Second International Conference on Computational Methods in System Biology (CMSB-04). Lecture Notes in Bioinformatics, Springer, 2004.
  • N. Chabrier-Rivier, F. Fages, S. Soliman. The Biochemical Abstract Machine BIOCHAM. In V. Danos and V. Schächter, editors, Proceedings of Second International Conference on Computational Methods in System Biology (CMSB-04). Lecture Notes in Bioinformatics, Springer, 2004.
  • L. De Raedt, K. Kersting. Probabilistic Inductive Logic Programming. In S. Ben-David, J. Case and A. Maruoka, editors, Proceedings of the 15th International Conference on Algorithmic Learning Theory (ALT-2004), pages 19-36. Padova, Italy, October 2-5, 2004.
  • K. Kersting, U. Dick. Balios - The Engine for Bayesian Logic Programs. Demonstration paper in J.-F. Boulicaut, F. Esposito, F. Giannotti and D. Pedreschi, editors, Proceedings of the 8th European Conference on Principles and Practice of Knowledege Discovery in Databases (PKDD-2004), pages 549-551. Pisa, Italy, September 20-25, 2004.
  • H. Lodhi and S.H. Muggleton. Modelling metabolic pathways using stochastic logic programs-based ensemble methods. In Proceedings of the 2nd International Conference on Computational Methods in System Biology. Springer-Verlag, 2004.
  • K. Kersting, T. Gärtner. Fisher Kernels for Logical Sequences. In J.-F. Boulicaut, F. Esposito, F. Giannotti and D. Pedreschi, editors, Proceedings of the 15th European Conference on Machine Learning (ECML-2004), pages 205 - 216. Pisa, Italy, September 20-25, 2004.
  • A. Tamaddoni-Nezhad, A. Kakas, S.H. Muggleton, F. Pazos. Modelling inhibition in metabolic pathways through abduction and induction. In A. Srinivasan, R. King, and R.Camacho, editors, Proceedings of the Fourteenth International Conference on Inductive Logic Programming (ILP-04), pages 305-322. Porto, Portugal, September 6-8, 2004.

  • K. Kersting, L. De Raedt. Logical Markov Decision Programs and the Convergence of Logical TD(λ). In A. Srinivasan, R. King, and R.Camacho, editors, Proceedings of the Fourteenth International Conference on Inductive Logic Programming (ILP-2004), pages 180-197. Porto, Portugal, September 6-8, 2004.

  • K. Kersting, M. Van Otterlo, L. De Raedt. Bellman goes Relational. In R. Greiner and D. Schuurmans, editors, Proceedings of the Twenty-First International Conference on Machine Learning (ICML-2004), pages 465 - 472. Banff, Alberta, Canada, 2004.

    A two-page abstract also appeared in L. Schomaker, N. Taatgen, R. Verbruggethe, editors, Proceedings of the Sixtheenth Belgian-Dutch Conference on Artificial Intelligence (BNAIC-04), Groning, The Netherlands, October 21-22, 2004.

2003

  • S. Muggleton, A. Tamaddoni-Nezhad and H. Watanabe Induction of Enzyme Classes from Biological Databases. In Tamás Horváth, editor, Proceedings of the Thirdteenth International Conference on Inductive Logic Programming (ILP-2003), pages 269-280. Szeged, Hungary, September 29 - October 1 2003.
  • A. Puech and S.H. Muggleton. A comparison of stochastic logic programs and Bayesian
    logic programs    . In In L. Getoor and D. Jensen, editors, Working Notes of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data (SRL-03), pages 121-129, August 11, Acapulco, Mexico, 2003.
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