204 search results - page 36 / 41 » Learning locally minimax optimal Bayesian networks |
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ICANN
2005
Springer
15 years 2 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
103
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INFOCOM
2007
IEEE
15 years 3 months ago
2007
IEEE
— The popularity of IEEE 802.11 WLANs has led to dense deployments in urban areas. High density leads to suboptimal performance unless the interfering networks learn how to optim...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
ICCV
1999
IEEE
15 years 11 months ago
1999
IEEE
This paper presents a control structure for general purpose image understanding that addresses both the high level of uncertainty in local hypotheses and the computational complex...