2326 search results - page 354 / 466 » Optimization on Support Vector Machines |
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
ICIAP
2003
ACM
15 years 10 months ago
2003
ACM
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
ICIAP
2005
ACM
15 years 10 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...