68 search results - page 1 / 14 » Online Multiple Kernel Learning: Algorithms and Mistake Boun... |
ALT
2010
Springer
14 years 11 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
77
Voted
SIAMCOMP
2008
14 years 9 months ago
2008
Abstract. The Perceptron algorithm, despite its simplicity, often performs well in online classification tasks. The Perceptron becomes especially effective when it is used in conju...
NIPS
2001
14 years 10 months ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
NIPS
2004
14 years 10 months ago
2004
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We describe and analyze an online algorithm for supervised learning of pseudo-metrics. The algorithm receives pairs of instances and predicts their similarity according to a pseud...