Machine Learning and Natural Language Processing Lab

Niels Landwehr

This is my old homepage . I recently moved to the machine learning group at the University of Potsdam. Please consult my new home page for up-to-date information.

In February 2009, I defended my Ph.D. thesis at the machine learning group at the Katholieke Universiteit Leuven, supervised by Luc De Raedt. Before re-locating with Luc De Raedt to Leuven in April 2007, I was a Ph.D. student at the Albert-Ludwigs-University in Freiburg, Germany.

My research interests are in machine learning and its applications, especially statistical relational learning, probabilistic (sequence) models, and applications in bioinformatics and human activity recognition.

	079-1005
	+49 (0)761 203-8014
	+49 (0)761 203-8007
	landwehr@informatik.uni-freiburg.de

SOFTWARE

Publications:

Journals and Magazines

Niels Landwehr and Bernd Gutmann and Ingo Thon and Matthai Philipose and Luc De Raedt.Relational Transformation-based Tagging for Activity Recognition.
In: Fundamenta Informaticae2008. To Appear.

Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen, Heikki Mannila.Constrained Hidden Markov Models for Population-based Haplotyping.
In: BMC Bioinformatics8/(Suppl 2). 2007. [pdf]

Niels Landwehr and Kristian Kersting and Luc De Raedt.Integrating Naive Bayes and FOIL.
In: Journal of Machine Learning Research8. pp. 481-507. 2007. [pdf]

Niels Landwehr and Mark Hall and Eibe Frank.Logistic Model Trees.
In: Machine Learning Journal59/1-2. pp. 161-205. 2005. [pdf]

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Book Chapters

Kristian Kersting and Luc De Raedt and Bernd Gutmann and Andreas Karwath and Niels Landwehr.Relational Sequence Learning.
In: Luc De Raedt and Paolo Frasconi and Kristian Kersting and Stephen Muggleton (Eds.): Probabilistic Inductive Logic Programming.Springer.2008.

Niels Landwehr and Taneli Mielikainen.Probabilistic Logic Learning from Haplotype Data.
In: Luc De Raedt and Paolo Frasconi and Kristian Kersting and Stephen Muggleton (Eds.): Probabilistic Inductive Logic Programming.Springer.2008.

Kristian Kersting and Niels Landwehr.Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm.
In: J. A. Gámez and S. Moral and A. Salmerón (Eds.): Advances in Learning Bayesian Networks.Studies in Fuzziness and Soft Computing146. pp. 235-254. Springer.2004.

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Conferences

Andreas Karwath and Kristian Kersting and Niels Landwehr.Boosting Relational Sequence Alignments.
In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008).December.Pisa, Italy.(2008)

Ingo Thon and Niels Landwehr and Luc De Raedt.A Simple Model for Sequences of Relational State Descriptions.
In: Proceedings of the 19th European Conference on Machine Learning (ECML-2008).September 15-19.Antwerp, Belgium.(2008)

Niels Landwehr.Modeling Interleaved Hidden Processes.
In: Proceedings of the 25th International Conference on Machine Learning (ICML-08).July 5-9.Helsinki, Finland.(2008) [pdf]

Niels Landwehr and Bernd Gutmann and Ingo Thon and Matthai Philipose and Luc De Raedt.Relational Transformation-based Tagging for Human Activity Recognition.
In: D. Malerba and A. Appice and M. Ceci (Eds.): Working Notes of the 6th Workshop on Multi-Relational Data Mining (MRDM-07) at ECML/PKDD-07.(2007) [pdf]

Niels Landwehr and Luc De Raedt.r-grams: Relational Grams.
In: Proceedings of the Twentieth Joint International Conference on Artificial Intelligence (IJCAI-07).January 6-12.Hyderabad, India.(2007) [pdf]

Niels Landwehr and Andrea Passerini and Luc De Raedt and Paolo Frasconi.kFOIL: Learning Simple Relational Kernels.
In: Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06).July 16-20.Boston, Massachusetts, USA.AAAI Press.(2006) [pdf]

Niels Landwehr and Taneli Mielikainen and Lauri Eronen and Hannu Toivonen and Heikki Mannila.Constrained Hidden Markov Models for Population-based Haplotyping (Extended Abstract).
In: Juho Rouso and Samuel Kaski and Esko Ukkonen (Eds.): Proceedings of the Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB).June 17-18.Tuusula, Finland.(2006) [pdf]

Niels Landwehr and Kristian Kersting and Luc De Raedt.nFOIL: Integrating Naive Bayes and FOIL.
In: M. Veloso and S. Kambhampat (Eds.): Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05).July 9-13.Pittsburgh, Pennsylvania, USA.AAAI Press.(2005) [pdf]

Niels Landwehr and Mark Hall and Eibe Frank.Logistic Model Trees.
In: Nada Lavrac and Dragan Gamberger and Ljupco Todorovski and Hendrik Blockeel (Eds.): Proceedings of the 14th European Conference on Machine Learning (ECML-03).Lecture Notes in Computer Science2837. pp. 241-252. Springer.(2003) [pdf]

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