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174
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TNN
2010
15 years 1 months ago
2010
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
184
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ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
A new framework is presented that uses tools from duality theory of linear programming to derive graph-cut based combinatorial algorithms for approximating NP-hard classification ...
137
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WWW
2004
ACM
16 years 7 months ago
2004
ACM
In the problem of learning with positive and unlabeled examples, existing research all assumes that positive examples P and the hidden positive examples in the unlabeled set U are...
153
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we propose a novel algorithm of multi-nominal logistic regression in which the locality regularization term is introduced. The locality is defined by the neighborho...
212
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AIIA
2001
Springer
15 years 11 months ago
2001
Springer
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...