545 search results - page 78 / 109 » Support Vector Regression Using Mahalanobis Kernels |
ICONIP
2008
15 years 1 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
113
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SSPR
2010
Springer
14 years 10 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
110
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FPGA
2005
ACM
15 years 5 months ago
2005
ACM
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
109
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ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...