993 search results - page 179 / 199 » Learning RoboCup-Keepaway with Kernels |
NIPS
2008
14 years 11 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
110
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EMNLP
2006
14 years 11 months ago
2006
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
102
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumpti...
PR
2010
14 years 8 months ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...