1034 search results - page 15 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
CICLING
2009
Springer
16 years 6 days ago
2009
Springer
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
ICML
2009
IEEE
16 years 13 days ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
108
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ML
2002
ACM
14 years 11 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
SDM
2009
SIAM
15 years 8 months ago
2009
SIAM
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
109
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ICML
2001
IEEE
16 years 13 days ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...