1034 search results - page 35 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
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ICST
2009
IEEE
15 years 4 months ago
2009
IEEE
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
COLT
2010
Springer
14 years 7 months ago
2010
Springer
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
NCA
2002
IEEE
14 years 9 months ago
2002
IEEE
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
SIGIR
2002
ACM
14 years 9 months ago
2002
ACM
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...