604 search results - page 92 / 121 » The Hardness of Metric Labeling |
118
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KDD
2006
ACM
16 years 7 days ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
104
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KDD
2006
ACM
16 years 7 days ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
116
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KDD
2004
ACM
16 years 7 days ago
2004
ACM
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
104
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RECOMB
2005
Springer
16 years 4 days ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
PODS
2008
ACM
15 years 12 months ago
2008
ACM
In this study we propose sketching algorithms for computing similarities between hierarchical data. Specifically, we look at data objects that are represented using leaf-labeled t...