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» Ratio semi-definite classifiers
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ICASSP
2009
IEEE
14 years 2 months ago
Multi-layer ratio Semi-Definite Classifiers
We develop a novel extension to the Ratio Semi-definite Classifier, a discriminative model formulated as a ratio of semi-definite polynomials. By adding a hidden layer to the m...
Jonathan Malkin, Jeff Bilmes
TSMC
2008
177views more  TSMC 2008»
13 years 5 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
NIPS
2001
13 years 8 months ago
Intransitive Likelihood-Ratio Classifiers
In this work, we introduce an information-theoreticbased correction term to the likelihood ratio classification method for multiple classes. Under certain conditions, the term is ...
Jeff Bilmes, Gang Ji, Marina Meila
ICASSP
2008
IEEE
14 years 1 months ago
Ratio semi-definite classifiers
We present a novel classification model that is formulated as a ratio of semi-definite polynomials. We derive an efficient learning algorithm for this classifier, and apply it...
Jonathan Malkin, Jeff Bilmes
ISCAS
2006
IEEE
61views Hardware» more  ISCAS 2006»
14 years 1 months ago
A vector quantizer classifier for blind signal to noise ratio estimation of speech signals
R. Ondusko, M. Marbacti, R. P. Ramachandran, L. M....