1235 search results - page 132 / 247 » Learning with Idealized Kernels |
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
AAAI
2008
15 years 12 days ago
2008
The idea of local learning, i.e., classifying a particular example based on its neighbors, has been successfully applied to many semi-supervised and clustering problems recently. ...
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
NIPS
2008
14 years 11 months ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
SIGKDD
2000
14 years 9 months ago
2000
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...