1325 search results - page 158 / 265 » Algorithm Selection using Reinforcement Learning |
104
Voted
AAAI
2006
15 years 3 months ago
2006
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
185
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms us...
122
Voted
KDD
2008
ACM
16 years 2 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
164
Voted
JCST
2010
14 years 9 months ago
2010
In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to b...
100
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IDA
2007
Springer
15 years 8 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...