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ML
1998
ACM
102views Machine Learning» more  ML 1998»
15 years 6 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
ICCD
2001
IEEE
119views Hardware» more  ICCD 2001»
16 years 3 months ago
A Functional Validation Technique: Biased-Random Simulation Guided by Observability-Based Coverage
We present a simulation-based semi-formal verification method for sequential circuits described at the registertransfer level. The method consists of an iterative loop where cove...
Serdar Tasiran, Farzan Fallah, David G. Chinnery, ...
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
16 years 23 days ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...
ICRA
2007
IEEE
161views Robotics» more  ICRA 2007»
16 years 28 days ago
Manipulation Planning Among Movable Obstacles
— This paper presents the ResolveSpatialConstraints (RSC) algorithm for manipulation planning in a domain with movable obstacles. Empirically we show that our algorithm quickly g...
Mike Stilman, Jan-Ullrich Schamburek, James Kuffne...
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 12 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman