1106 search results - page 15 / 222 » On regularization algorithms in learning theory |
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
NIPS
2008
14 years 11 months ago
2008
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
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NN
2010
Springer
14 years 4 months ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
IPL
2007
14 years 9 months ago
2007
A new algorithm is presented for testing if a regular language is locally threshold testable. The new algorithm is slower than existing algorithms, but its correctness proof is sh...