Artificial Intelligence Research

Under construction.

Our main research topic is Algorithmic Data Analysis. We work mostly in Machine Learning and Data Mining research. These topics are in the border of Artificial Intelligence and Theoretical Computer Science.

Projects

Academy of Finland is funding the following research projects at the moment

Machine Learning and Online Data Structures, Senior Scientist Grant, 2007-08.
ALEA: Approximation and Learning Algorithms, 2005-08.(Consortium with the Department of Computer Science, University of Helsinki).
INTENTS: Intelligent Online Data Structures, 2004-07.

Personnel

The people involved in the research include:

Tapio Elomaa, Ph.D., Prof.
Jussi Kujala, M.Sc.
Timo Aho, M.Sc.
Heidi Koivistoinen, M.Sc.
Petri Lehtinen
Matti Saarela

Teaching

Varied topics in algorithmics: Probability and computing, OHJ-2650 Algoritmiikan vaihtuva-aiheinen kurssi: Todennäköisyys ja laskenta 05/06
Artificial intelligence, OHJ-2550 (8101905) Tekoäly 03, 04, 07
Introduction to theoretical computer science, OHJ-2300 (8101100) Johdatus tietojenkäsittelyteoriaan 04, 05, 05b, 06

Selected Publications

Following the perturbed leader to gamble at multi-armed bandits. In M. Hutter, R. Servedio, and E. Takimoto (eds.), Algorithmic Learning Theory, Proc. 18th Intl. Conf., ALT '07, (pp. 158-172). LNAI 4754. Springer, 2007. With J. Kujala.
Improved algorithms for univariate discretization of continuous features. In J. Kok et al. (eds.), Knowledge Discovery in Databases: PKDD 2007, Proc. 11th European Conf. (pp. 188-199). LNAI 4702. Springer, 2007. With J. Kujala.
Poketree: a dynamically competitive data structure with good worst-case performance. In T. Asano (ed.), Algorithms and Computation, Proc. 17th Intl. Symp. ISAAC 2006 (pp. 277-288). LNCS 4288. Springer, 2006. With J. Kujala.
A Voronoi diagram approach to autonomous clustering. In L. Todorovski, N. Lavrac & K. P. Jantke (eds.), Discovery Science, Proc. 9th Intl. Conf., DS-2006 (pp. 137-148). LNAI 4265. Springer, 2006. With H. Koivistoinen and M. Ruuska.
Practical approximation of optimal multivariate discretization. In F. Esposito, Z. W. Ras, D. Malerba & G. Semeraro (eds.), Foundations of Intelligent Systems, Proc. 16th Intl. Symp., ISMIS '06 (pp. 612-621). LNAI 4203. Springer, 2006. With J. Kujala and J. Rousu.
On following the perturbed leader in the bandit setting. In S. Jain, H. U. Simon & E. Tomita (eds.), Algorithmic Learning Theory, Proc. 16th Intl. Conf., ALT '05 (pp. 371-385). LNAI 3734. Springer, 2005. With J. Kujala.
Approximation algorithms for minimizing empirical error by axis-parallel hyperplanes. In J. Gama et al. (eds.), Machine Learning: ECML 2005, Proc. 16th European Conf. (pp. 547-555). LNAI 3720. Springer, 2005. With J. Kujala and J. Rousu.

Nov. 13, 2007 http://www.cs.tut.fi/~elomaa/