Sciweavers

1863 search results - page 24 / 373
» Multiagent learning using a variable learning rate
Sort
View
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
14 years 3 days ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
CEAS
2006
Springer
14 years 16 days ago
Learning at Low False Positive Rates
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
Wen-tau Yih, Joshua Goodman, Geoff Hulten
JMLR
2010
126views more  JMLR 2010»
13 years 3 months ago
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach
We propose a novel application of the Simultaneous Orthogonal Matching Pursuit (SOMP) procedure to perform variable selection in ultra-high dimensional multiple output regression ...
Mladen Kolar, Eric P. Xing
INFOSCALE
2006
ACM
14 years 2 months ago
Automated ontology evolution in a multi-agent system
This research addresses the formation of new concepts and their corresponding ontology in a multiagent system where individual autonomous agents try to learn new concepts by consu...
Mohsen Afsharchi, Behrouz H. Far
CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 8 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky