847 search results - page 159 / 170 » HITS is Principal Components Analysis |
ICALP
2009
Springer
14 years 7 months ago
2009
Springer
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
SIGMOD
2005
ACM
14 years 6 months ago
2005
ACM
Randomization has emerged as a useful technique for data disguising in privacy-preserving data mining. Its privacy properties have been studied in a number of papers. Kargupta et ...
HICSS
2007
IEEE
14 years 1 months ago
2007
IEEE
— The purpose of this paper is to model the stochastic behavior of nodal prices and use the predicted price differences between zones as the basis for measuring the magnitude and...
CEC
2005
IEEE
14 years 10 days ago
2005
IEEE
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
ICNC
2005
Springer
14 years 7 days ago
2005
Springer
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...