654 search results - page 97 / 131 » TRUST-TECH based Methods for Optimization and Learning |
133
Voted
IROS
2009
IEEE
15 years 7 months ago
2009
IEEE
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
100
Voted
ECML
2005
Springer
15 years 6 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
118
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SIGIR
2011
ACM
14 years 3 months ago
2011
ACM
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
138
Voted
SYNTHESE
2008
2008
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
15 years 17 days ago
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
112
Voted
PAMI
2011
14 years 7 months ago
2011
—A novel framework is proposed for the design of cost-sensitive boosting algorithms. The framework is based on the identification of two necessary conditions for optimal cost-sen...