225 search results - page 26 / 45 » Feature selection is the ReliefF for multiple instance learn... |
JIFS
2002
14 years 11 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
105
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IRI
2008
IEEE
15 years 6 months ago
2008
IEEE
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
137
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IJDMMM
2008
14 years 11 months ago
2008
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
107
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SDM
2010
SIAM
15 years 1 months ago
2010
SIAM
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
CLEF
2010
Springer
15 years 25 days ago
2010
Springer
Abstract. In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant ...