181 search results - page 3 / 37 » Worst-Case Analysis of Selective Sampling for Linear Classif... |
BMCBI
2010
13 years 5 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
CORR
2011
Springer
13 years 8 days ago
2011
Springer
The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
ICDAR
2009
IEEE
13 years 3 months ago
2009
IEEE
The separation of Chinese character and English character is helpful for OCR technique. In this paper, a multi-level cascade classifier combined with feature selection is construc...
PR
2008
13 years 5 months ago
2008
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...