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» Termination Analysis with Algorithmic Learning
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96
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ICPR
2008
IEEE
15 years 10 months ago
Graph-based semi-supervised learning with redundant views
In this paper, we propose a novel semi-supervised algorithm, which works under a two-view setting. Our algorithm, named Kernel Canonical Component Analysis Graph (KC-GRAPH), can e...
Yun-Chao Gong, Chuanliang Chen, Yingjie Tian
SIGECOM
2004
ACM
135views ECommerce» more  SIGECOM 2004»
15 years 9 months ago
Applying learning algorithms to preference elicitation
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
Sébastien Lahaie, David C. Parkes
133
Voted
FOCS
1999
IEEE
15 years 7 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
PIMRC
2008
IEEE
15 years 10 months ago
Free deconvolution for OFDM multicell SNR detection
—In this paper, a new blind OFDM multicell detection method is proposed to determine the number of base stations in a cellular system. Using recent results of free deconvolution,...
Romain Couillet, Mérouane Debbah
203
Voted
JMLR
2006
389views more  JMLR 2006»
15 years 3 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...