3643 search results - page 292 / 729 » Learning Submodular Functions |
144
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DAGM
2004
Springer
16 years 1 days ago
2004
Springer
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
146
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MICAI
2004
Springer
16 years 10 hour ago
2004
Springer
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
194
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ACIIDS
2010
IEEE
15 years 11 months ago
2010
IEEE
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
151
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ECAL
2001
Springer
15 years 11 months ago
2001
Springer
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
202
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ACCV
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. In this paper, we propose a new method for image classification, in which matrix based kernel features are designed to capture the multiple similarities between images in...