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JMLR
2010
139views more  JMLR 2010»
15 years 29 days ago
On the Foundations of Noise-free Selective Classification
We consider selective classification, a term we adopt here to refer to `classification with a reject option.' The essence in selective classification is to trade-off classifi...
Ran El-Yaniv, Yair Wiener
ECIR
2011
Springer
14 years 9 months ago
Combination of Feature Selection Methods for Text Categorisation
Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We ...
Robert Neumayer, Rudolf Mayer, Kjetil Nørv&...
CRYPTO
2012
Springer
215views Cryptology» more  CRYPTO 2012»
13 years 8 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»
16 years 6 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»
16 years 19 days 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...