424 search results - page 55 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
112
Voted
ICMLA
2007
15 years 4 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
111
Voted
NIPS
1990
15 years 3 months ago
1990
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
143
Voted
AAAI
2007
15 years 5 months ago
2007
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...
261
Voted
ECAI
2010
Springer
15 years 3 months ago
2010
Springer
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
87
Voted
GECCO
2003
Springer
15 years 8 months ago
2003
Springer
Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered...