530 search results - page 59 / 106 » Learning Bounds for Domain Adaptation |
101
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
93
Voted
ICONIP
2007
15 years 1 months ago
2007
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, ...
112
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COLT
2010
Springer
14 years 10 months ago
2010
Springer
We study the regret of an online learner playing a multi-round game in a Banach space B against an adversary that plays a convex function at each round. We characterize the minima...
106
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COLT
2010
Springer
14 years 10 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
116
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ASC
2008
15 years 19 days ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...