1329 search results - page 214 / 266 » Randomly Sampling Molecules |
SIGGRAPH
2010
ACM
14 years 1 months ago
2010
ACM
Human motions are the product of internal and external forces, but these forces are very difficult to measure in a general setting. Given a motion capture trajectory, we propose ...
IWVF
2001
Springer
14 years 1 months ago
2001
Springer
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
CIVR
2006
Springer
14 years 22 days ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
GECCO
2006
Springer
14 years 20 days ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
MCS
2000
Springer
14 years 17 days ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...