433 search results - page 13 / 87 » Local-Learning-Based Feature Selection for High-Dimensional ... |
NIPS
1997
13 years 9 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
JCIT
2010
13 years 2 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
CAIP
1997
Springer
13 years 11 months ago
1997
Springer
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...