450 search results - page 7 / 90 » Adaptive Algorithms for Online Decision Problems |
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
ITA
2006
14 years 11 months ago
2006
We consider the four families of recognizable, synchronous, deterministic rational and rational subsets of a direct product of free monoids. They form a strict hierarchy and we in...
101
Voted
SAC
2005
ACM
15 years 5 months ago
2005
ACM
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
120
Voted
WAOA
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Many online problems encountered in real-life involve a twostage decision process: upon arrival of a new request, an irrevocable firststage decision (the assignment of a...
93
Voted
NIPS
2008
15 years 1 months ago
2008
We present cutoff averaging, a technique for converting any conservative online learning algorithm into a batch learning algorithm. Most online-to-batch conversion techniques work...