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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 7 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
ICML
2010
IEEE
15 years 7 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
VTC
2006
IEEE
112views Communications» more  VTC 2006»
16 years 2 days ago
Interference Suppression Through Adaptive Subset Antenna Transmission in Interference Limited MIMO Wireless Environments
Abstract— We consider spatially multiplexed MIMO transmission in the presence of co-channel interference with subset transmit antenna selection. Several algorithms for antenna se...
Shreeram Sigdel, Witold A. Krzymien
CORR
2006
Springer
94views Education» more  CORR 2006»
15 years 6 months ago
Fitness Uniform Optimization
Abstract-- In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of more fit individuals. Th...
Marcus Hutter, Shane Legg
AAAI
1998
15 years 7 months ago
Learning Investment Functions for Controlling the Utility of Control Knowledge
The utility problem occurs when the cost of the acquired knowledge outweighs its bene ts. When the learner acquires control knowledge for speeding up a problem solver, the bene t ...
Oleg Ledeniov, Shaul Markovitch