838 search results - page 22 / 168 » Propagation Redundancy in Redundant Modelling |
KDD
2003
ACM
14 years 10 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
ESORICS
2004
Springer
14 years 3 months ago
2004
Springer
Redundancy and diversity are commonly applied principles for fault tolerance against accidental faults. Their use in security, which is attracting increasing interest, is less gene...
WWW
2010
ACM
14 years 3 months ago
2010
ACM
This paper addresses the problem of identifying redundant data in large-scale service-oriented information systems. Specifically, the paper puts forward an automated method to pi...
AAAI
2010
13 years 11 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
CLEIEJ
2006
13 years 9 months ago
2006
This paper describes a single-version algorithmic approach to design in fault tolerant computing in various computing systems by using static redundancy in order to mask transient...