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ICTAI
2005
IEEE
15 years 8 months ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden
MICCAI
2007
Springer
15 years 9 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 9 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 9 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
IIE
2007
120views more  IIE 2007»
15 years 2 months ago
Words are Silver, Mouse-Clicks are Gold? (or how to optimize the level of language formalization of young students in a Logo-bas
How do we teach children to express and communicate ideas in a formal and informal mode? What type of language do they need in a concrete context? How should they determine a prope...
Evgenia Sendova, Toni Chehlarova, Pavel Boytchev