Jan Poland  →  Publications
 
Here are my publications, listed in reverse chronological order. They are almost surely available on request (email) and with high probability even online. For papers up to 2002, please have a look at the Computer Architecture Dept. in Tübingen.

This web page points to scientific articles for download. This is to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by the respective copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Theses

J. Poland. Modellgestützte und Evolutionäre Optimierungsverfahren für die Motorentwicklung. PhD thesis, University of Tübingen, 2002. ISBN 3-8325-0015-4.

J. Poland. Der Spektrale Abbildungssatz für Operatorhalbgruppen und das Kritische Spektrum. Master's thesis, University of Tübingen, 1998.

Journals

J. Poland and K. Knödler. Controlling model trust with compactly supported smooth RBF. Control and Intelligent Systems, 36 no. 1 pp. 10-16 2008.

J. Poland. Consistency of discrete Bayesian learning. Theoretical Computer Science, 405 no. 3 pp. 256-273, 2008.

J. Poland. Nonstochastic bandits: Countable decision set, unbounded costs, and reactive environments. Theoretical Computer Science, 397 no. 1-3 pp. 77-93, 2008.

J. Poland and M. Hutter. MDL convergence speed for Bernoulli sequences. Statistics and Computing, 16 pp. 161-175, 2006.

J. Poland and M. Hutter. Asymptotics of discrete MDL for online prediction. IEEE Transactions on Information Theory, 51 no. 11 pp. 3780-3795, 2005. The finally published abstract erroneously states that we deal with i.i.d. instead of non-i.i.d., please compare the technical report version. Technical report covering (approx.) this material.

M. Hutter and J. Poland. Adaptive online prediction by following the perturbed leader. Journal of Machine Learning Research, 6 pp. 639-660, 2005. Technical report covering (approx.) this material.

J. Poland. A coding theorem for enumerable output machines. Information Processing Letters, 91 no. 4 pp. 157-161, 2004.

J. Poland. Finding smooth maps is NP-complete. Information Processing Letters, 85 pp. 249-253, 2003.

K. Knödler, J. Poland, A. Zell, T. Fleischhauer, A. Mitterer, and S. Ullmann. Model-based online optimization of modern internal combustion engines, part 2: Limits of the feasible search space. MTZ Worldwide (Motortechnische Zeitschrift), 64 no. 6 pp. 30-32, 2003. German edition pp. 520-526.

J. Poland, K. Knödler, A. Zell, T. Fleischhauer, A. Mitterer, and S. Ullmann. Model-based online optimization of modern internal combustion engines, part 1: Active learning. MTZ Worldwide (Motortechnische Zeitschrift), 64 no. 5 pp. 31-33, 2003. German edition pp. 432-437.

R. Nagel and J. Poland. The critical spectrum of a strongly continuous semigroup. Advances Math., 152 pp. 120-133, 2000.

S. Brendle, R. Nagel, and J. Poland. On the spectral mapping theorem for perturbed strongly continuous semigroups. Archiv Math., 74 pp. 365-378, 2000.

Book Chapters

K. Knödler, J. Poland, P. Merz, and A. Zell. Using memetic algorithms for optimal calibration of automotive internal combustion engines. In W. E. Hart, N. Krasnogor, and J. E. Smith, editors, Recent Advances in Memetic Algorithms, pages 87-104, 2004.

International Conferences

J. Poland. On the consistency of discrete Bayesian learning. 24th International Symposium on Theoretical Aspects of Computer Science (STACS). 2007, Technical report covering (approx.) this material.

J. Poland. The missing consistency theorem for Bayesian learning: Stochastic model selection. In Algorithmic Learning Theory, 16h International Conference, ALT (LNAI 4264), pages 259-273, 2006. Technical report covering (approx.) this material.

J. Poland and T. Zeugmann. Clustering pairwise distances with missing data: Maximum cuts versus normalized cuts. In Discovery Science, 9h International Conference, DS (LNAI 4265), pages 197-208, 2006.

J. Poland. The entropy potential of a discrete probability distribution. In International Symposium on Information Theory and its Applications, ISITA, pages 891-896, 2006. Technical report covering (approx.) this material.

J. Poland. Online learning with universal model and predictor classes. In Proceedings of the IEEE Information Theory Workshop, Punta del Este, Uruguay, March 13-17 (invited paper), pages 237-241, 2006.

J. Poland. FPL analysis for adaptive bandits. In Stochastic Algorithms: Foundations and Applications, Third International Symposium, SAGA (LNCS 3777), pages 58-69. Springer, 2005. Technical report covering (approx.) this material.

J. Poland and M. Hutter. Defensive universal learning with experts. In Algorithmic Learning Theory, 16h International Conference, ALT (LNAI 3734), pages 356-370. Springer, 2005. Technical report covering (approx.) this material.

J. Poland and M. Hutter. On the convergence speed of MDL predictions for Bernoulli sequences. In Algorithmic Learning Theory, 15h International Conference, ALT (LNAI 3244), pages 294-308. Springer, 2004.

M. Hutter and J. Poland. Prediction with expert advice by following the perturbed leader for general weights. In Algorithmic Learning Theory, 15h International Conference, ALT (LNAI 3244), pages 279-293. Springer, 2004.

J. Poland. Explicit local models: Towards "optimal'' optimization algorithms. In Machine Learning, 15th European Conference on Machine Learning, ECML (LNAI 3201), pages 569-571. Springer, 2004.

J. Poland and M. Hutter. Convergence of discrete MDL for sequential prediction. In Learning Theory, 17th Annual Conference on Learning Theory, COLT (LNAI 3120), pages 300-314. Springer, 2004.

K. Knödler, J. Poland, and A. Zell. Memetic algorithms for combinatorial optimization problems in the calibration of modern combustion engines. In B. Langdon et al., editor, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), page 687, 2002.

J. Poland and A. Zell. Main vector adaptation: A CMA variant with linear time and space complexity. In L. Spector et al., editor, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pages 1050-1055, 2001.

J. Poland, K. Knödler, A. Mitterer, T. Fleischhauer, F. Zuber-Goos, and A. Zell. Evolutionary search for smooth maps in motor control unit calibration. In Kathleen Steinhöfel, editor, Stochastic Algorithms: Foundations and Applications (LNCS 2264), pages 107-116. Springer, 2001.

Workshops and Local Conferences

J. Poland and T. Zeugmann. Gaining knowledge with Bayes won't fail, 2006. Presented at the 1st International Workshop on Knowledge Media Science, Schloss Landsberg, Oct. 2-5.

J. Poland. General consistency theorems for proper discrete Bayesian learning. In The International Workshop on Data-Mining and Statistical Science (DMSS), pages 20-25, 2006.

J. Poland and T. Zeugmann. Clustering based on graph cuts. In SIG-FPAI Workshop (Technical Report of the Japanese Society for Artificial Intelligence), pages 77-82, 2006.

J. Poland and T. Zeugmann. Clustering the Google distance with eigenvectors and semidefinite programming. In Knowledge Media Technologies, First International Core-To-Core Workshop, pages 61-69, 2006.

J. Poland and M. Hutter. Universal learning of repeated matrix games, 2006. Presented at Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn).

J. Poland and M. Hutter. Universal agents in repeated matrix games, 2006. Presented at 8th Workshop on Game Theoretic and Decision Theoretic Agents (in conjunction with AAMAS).

J. Poland and T. Zeugmann. Spectral clustering of the Google distance, 2006. Presented at the 3rd International Symposium on Ubiquitous Knowledge Network Environment, Sapporo, Feb. 27-March 1.

J. Poland and T. Zeugmann. Fundamental research for knowledge federation, 2006. Presented at the 3rd International Symposium on Ubiquitous Knowledge Network Environment, Sapporo, Feb. 27-March 1.

J. Poland. Recent results in universal and non-universal induction, 2006. Dagstuhl Workshop on Kolmogorov Complexity and Applications, Jan. 29-Feb. 3.

J. Poland and M. Hutter. Master algorithms for active experts problems based on increasing loss values, 2005. Presented at the Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn).

J. Poland and M. Hutter. Strong asymptotic assertions for discrete MDL in regression and classification, 2005. Presented at the Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn).

I. Fischer and J. Poland. Amplifying the block matrix structure for spectral clustering, 2005. Presented at the Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn).

J. Poland. Online methods in learning theory, 2004. Presented at the EU PASCAL Workshop (LTBIP-2004).

K. Knödler, J. Poland, A. Zell, and A. Mitterer. Memory economy for electronic control units: Compression of conventional look-up tables. In N. Mastorakis, editor, Recent Advances In Simulation, Computational Methods and Soft Computing, pages 234-239, 2002.

K. Knödler, J. Poland, P. Merz, and A. Zell. Using memetic algorithms for optimal calibration of automotive combustion engines. In Proceedings of the Third Workshop on Memetic Algorithms (WOMA III), Granada, Spain, 2002.

J. Poland and A. Zell. Different criteria for active learning in neural networks: A comparative study. In M. Verleysen, editor, Proceedings of the 10th European Symposium on Artificial Neural Networks, pages 119-124, 2002.

K. Knödler, J. Poland, A. Mitterer, and A. Zell. Genetic algorithms solve combinatorial optimisation problems in the calibration of combustion engines. In Optimization in Industry III, June 17-22, 2001, Barga, Toskana, Italy, 2001.

K. Knödler, J. Poland, A. Mitterer, and A. Zell. Optimizing data measurements at test beds using multi-step genetic algorithms. In N. Mastorakis, editor, Advances in Fuzzy Systems and Evolutionary Computation, pages 277-282, 2001.

J. Poland, A. Mitterer, K. Knödler, and A. Zell. Genetic algorithms can improve the construction of d-optimal experimental designs. In N. Mastorakis, editor, Advances in Fuzzy Systems and Evolutionary Computation, pages 227-231, 2001.

J. Poland, K. Knödler, and A. Zell. On the efficient arrangement of given points in a rectangular grid. In E. J. W. Boers et al., editor, Applications of Evolutionary Computation (LNCS 2037), pages 110-119, 2001.


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Last update: Sat Apr 25 15:20:52 2009 GMT by Jan Poland, Page = "Publications"