8 search results - page 1 / 2 » A Quadratic Loss Multi-Class SVM |
INFORMATICALT
2011
12 years 12 months ago
2011
To set the values of the hyperparameters of a support vector machine (SVM), the method of choice is cross-validation. Several upper bounds on the leave-one-out error of the pattern...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
SIGIR
2006
ACM
13 years 11 months ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
NIPS
2008
13 years 6 months ago
2008
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...