2934 search results - page 51 / 587 » Hypothesis Spaces for Learning |
134
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PREMI
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
137
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TNN
1998
15 years 3 months ago
1998
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
115
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ML
2007
ACM
15 years 3 months ago
2007
ACM
In this paper, we continue our study of learning an optimal kernel in a prescribed convex set of kernels, [18]. We present a reformulation of this problem within a feature space e...
129
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NIPS
1998
15 years 5 months ago
1998
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...
131
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MIR
2006
ACM
15 years 9 months ago
2006
ACM
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...