1474 search results - page 71 / 295 » Using Machine Learning to Focus Iterative Optimization |
110
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
148
Voted
BMVC
2010
14 years 9 months ago
2010
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
101
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
92
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
126
Voted
CIKM
2009
Springer
15 years 9 months ago
2009
Springer
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...