1106 search results - page 69 / 222 » On regularization algorithms in learning theory |
174
Voted
ATVA
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically bas...
127
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ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
164
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NCA
2008
IEEE
15 years 4 months ago
2008
IEEE
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
125
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NIPS
2008
15 years 6 months ago
2008
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
152
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ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...