247 search results - page 11 / 50 » Superset Learning Based on Generalized Loss Minimization |
SIAMIS
2010
14 years 4 months ago
2010
We study nonparametric regression between Riemannian manifolds based on regularized empirical risk minimization. Regularization functionals for mappings between manifolds should re...
JMLR
2008
14 years 10 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
AIRS
2010
Springer
14 years 8 months ago
2010
Springer
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
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SAGA
2009
Springer
15 years 4 months ago
2009
Springer
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...