242 search results - page 3 / 49 » Active Learning with Support Vector Machines for Tornado Pre... |
TON
2010
13 years 1 months ago
2010
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
ICANN
2001
Springer
2001
Springer
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
13 years 11 months ago
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
ECIR
2003
Springer
13 years 8 months ago
2003
Springer
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
CIBCB
2009
IEEE
13 years 8 months ago
2009
IEEE
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...