1897 search results - page 105 / 380 » Sparse Additive Machine |
171
Voted
PAKDD
2011
ACM
14 years 3 months ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
112
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KDD
2006
ACM
16 years 1 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
109
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PRICAI
2000
Springer
15 years 4 months ago
2000
Springer
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
109
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LISA
2007
15 years 3 months ago
2007
In virtual machine environments each application is often run in its own virtual machine (VM), isolating it from other applications running on the same physical machine. Contentio...
APVIS
2006
15 years 2 months ago
2006
A common problem in visualising some networks is the presence of localised high density areas in an otherwise sparse graph. Applying common graph drawing algorithms on such networ...