Sciweavers

106 search results - page 8 / 22
» Online Knowledge-Based Support Vector Machines
Sort
View
101
Voted
SAC
2005
ACM
15 years 5 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
NIPS
2001
15 years 1 months ago
Online Learning with Kernels
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...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
ICML
2009
IEEE
16 years 14 days ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever
ICDAR
2009
IEEE
15 years 6 months ago
Online Recognition of Multi-Stroke Symbols with Orthogonal Series
We propose an efficient method to recognize multi-stroke handwritten symbols. The method is based on computing the truncated Legendre-Sobolev expansions of the coordinate functio...
Oleg Golubitsky, Stephen M. Watt
NECO
2008
112views more  NECO 2008»
14 years 11 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel