4578 search results - page 131 / 916 » Learning from Multi-source Data |
109
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
110
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STACS
1999
Springer
15 years 6 months ago
1999
Springer
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
142
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
126
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BIBE
2005
IEEE
15 years 7 months ago
2005
IEEE
One of the major problems in biological data integration is that many data sources are stored as flat-files, with a variety of different layouts. Integrating data from such sour...
104
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ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...