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GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
16 years 1 days ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
ICRA
2003
IEEE
114views Robotics» more  ICRA 2003»
15 years 12 months ago
Robotic catching using a direct mapping from visual information to motor command
— In this paper a robotic catching algorithm based on a nonlinear mapping of visual information to the desired trajectory is proposed. The nonlinear mapping is optimized by learn...
Akio Namiki, Masatoshi Ishikawa
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
15 years 12 months ago
Population Sizing Based on Landscape Feature
Abstract. Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes’ ruggedness and Probably ...
Jian Zhang, Xiaohui Yuan, Bill P. Buckles
NIPS
2004
15 years 8 months ago
The Convergence of Contrastive Divergences
This paper analyses the Contrastive Divergence algorithm for learning statistical parameters. We relate the algorithm to the stochastic approximation literature. This enables us t...
Alan L. Yuille
FSTTCS
2010
Springer
15 years 4 months ago
Recent Progress and Open Problems in Algorithmic Convex Geometry
This article is a survey of developments in algorithmic convex geometry over the past decade. These include algorithms for sampling, optimization, integration, rounding and learni...
Santosh Vempala