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» Joint Feature-Basis Subset Selection
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CVPR
2004
IEEE
14 years 7 months ago
Joint Feature-Basis Subset Selection
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...
Shai Avidan
CRYPTO
2006
Springer
104views Cryptology» more  CRYPTO 2006»
13 years 8 months ago
Random Selection with an Adversarial Majority
Abstract. We consider the problem of random selection, where p players follow a protocol to jointly select a random element of a universe of size n. However, some of the players ma...
Ronen Gradwohl, Salil P. Vadhan, David Zuckerman
IJCAI
2001
13 years 6 months ago
Genetic Algorithm based Selective Neural Network Ensemble
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen
JMLR
2006
145views more  JMLR 2006»
13 years 4 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 6 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin