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JMLR
2006
99views more  JMLR 2006»
15 years 2 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
VTC
2006
IEEE
112views Communications» more  VTC 2006»
15 years 8 months 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
SAC
2011
ACM
14 years 9 months ago
Stochastic matching pursuit for Bayesian variable selection
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
Ray-Bing Chen, Chi-Hsiang Chu, Te-You Lai, Ying Ni...
CEEMAS
2005
Springer
15 years 8 months ago
Selection in Scale-Free Small World
Abstract. In this paper we compare our selection based learning algorithm with the reinforcement learning algorithm in Web crawlers. The task of the crawlers is to find new inform...
Zsolt Palotai, Csilla Farkas, András Lö...
ATAL
2009
Springer
15 years 9 months ago
Incorporating helpful behavior into collaborative planning
This paper considers the design of agent strategies for deciding whether to help other members of a group with whom an agent is engaged in a collaborative activity. Three characte...
Ece Kamar, Ya'akov Gal, Barbara J. Grosz