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» BAYDA: Software for Bayesian Classification and Feature Sele...
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108
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JMLR
2002
115views more  JMLR 2002»
15 years 24 days ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
89
Voted
SOFTWARE
2002
15 years 23 days ago
Sequential Diagnosis in the Independence Bayesian Framework
We present a new approach to test selection in sequential diagnosis (or classification) in the independence Bayesian framework that resembles the hypothetico-deductive approach to ...
David McSherry
111
Voted
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
Björn Schuller, Brüning J. B. Schmitt, D...
93
Voted
ICIP
2002
IEEE
16 years 2 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
109
Voted
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 29 days ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter