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JMLR
2006
99views more  JMLR 2006»
15 years 6 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 ...
ENGL
2007
89views more  ENGL 2007»
15 years 6 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
KES
2006
Springer
15 years 6 months ago
Alertness Assessment Using Data Fusion and Discrimination Ability of LVQ-Networks
To track the alertness changes of 14 subjects during a night driving simulation study traditional alertness measures such Visual Analog Sleepiness Scale, Alpha Attenuation Test (AA...
Udo Trutschel, David Sommer, Acacia Aguirre, Todd ...
PR
2008
144views more  PR 2008»
15 years 6 months ago
Regularized query classification using search click information
Hundreds of millions of users each day submit queries to the Web search engine. The user queries are typically very short which makes query understanding a challenging problem. In...
Xiaofei He, Pradhuman Jhala
NPL
2006
130views more  NPL 2006»
15 years 6 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...