1034 search results - page 114 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
98
Voted
ML
2008
ACM
15 years 16 days ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
98
Voted
AICCSA
2006
IEEE
15 years 2 months ago
2006
IEEE
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
127
Voted
CVPR
2010
IEEE
15 years 24 days ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
121
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KDD
2004
ACM
16 years 1 months ago
2004
ACM
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
114
Voted
SADM
2010
14 years 11 months ago
2010
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...