2884 search results - page 399 / 577 » Evaluating learning algorithms and classifiers |
ICDCS
2002
IEEE
14 years 2 months ago
2002
IEEE
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
CIKM
2006
Springer
14 years 23 days ago
2006
Springer
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
JMLR
2010
13 years 3 months ago
2010
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
AAAI
2004
13 years 10 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...