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CRYPTO
2012
Springer
215views Cryptology» more  CRYPTO 2012»
11 years 11 months ago
New Proof Methods for Attribute-Based Encryption: Achieving Full Security through Selective Techniques
We develop a new methodology for utilizing the prior techniques to prove selective security for functional encryption systems as a direct ingredient in devising proofs of full sec...
Allison B. Lewko, Brent Waters
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 9 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
14 years 3 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 2 months ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...
IPPS
1996
IEEE
14 years 1 months ago
Practical Algorithms for Selection on Coarse-Grained Parallel Computers
In this paper, we consider the problem of selection on coarse-grained distributed memory parallel computers. We discuss several deterministic and randomized algorithms for paralle...
Ibraheem Al-Furaih, Srinivas Aluru, Sanjay Goil, S...