329 search results - page 2 / 66 » Dimensionality Reduction for Text using Domain Knowledge |
WWW
2009
ACM
14 years 7 months ago
2009
ACM
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...
ICDE
2012
IEEE
11 years 9 months ago
2012
IEEE
—Dimensionality reduction is essential in text mining since the dimensionality of text documents could easily reach several tens of thousands. Most recent efforts on dimensionali...
KDD
2001
ACM
14 years 7 months ago
2001
ACM
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
IRI
2007
IEEE
14 years 1 months ago
2007
IEEE
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...