2391 search results - page 179 / 479 » A Portfolio Approach to Algorithm Selection |
119
Voted
ATAL
2008
Springer
15 years 5 months ago
2008
Springer
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
141
Voted
NIPS
2007
15 years 5 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
115
Voted
TCOM
2008
15 years 3 months ago
2008
Abstract--This paper addresses the problem of joint optimization of transmit beamforming and space-frequency (SF) coding for MIMO-OFDM systems with spatial correlation feedback in ...
142
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
146
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...