159 search results - page 17 / 32 » Margin Maximizing Loss Functions |
CORR
2007
Springer
14 years 11 months ago
2007
Springer
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
COLT
2000
Springer
15 years 4 months ago
2000
Springer
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
101
click to vote
NIPS
2001
15 years 1 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
TIT
1998
14 years 11 months ago
1998
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
114
click to vote
ML
2002
ACM
14 years 11 months ago
2002
ACM
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...