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86
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ISCI
2008
88views more  ISCI 2008»
15 years 22 days ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
109
Voted
JMLR
2010
139views more  JMLR 2010»
14 years 7 months 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
CRYPTO
2012
Springer
215views Cryptology» more  CRYPTO 2012»
13 years 3 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
103
Voted
ICCV
2003
IEEE
16 years 2 months ago
On-Line Selection of Discriminative Tracking Features
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...
Robert T. Collins, Yanxi Liu
ECAI
2004
Springer
15 years 6 months ago
Learning Techniques for Automatic Algorithm Portfolio Selection
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
Alessio Guerri, Michela Milano