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» Gaussian Processes in Machine Learning
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111
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SIAMJO
2008
104views more  SIAMJO 2008»
15 years 13 days ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
ICPR
2008
IEEE
16 years 1 months ago
SVMs, Gaussian mixtures, and their generative/discriminative fusion
We present a new technique that employs support vector machines and Gaussian mixture densities to create a generative/discriminative joint classifier. In the past, several approac...
Georg Heigold, Hermann Ney, Thomas Deselaers
75
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AIME
2005
Springer
15 years 6 months ago
Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques
Alexandros G. Valarakos, Vangelis Karkaletsis, Dim...
89
Voted
ICANN
2001
Springer
15 years 5 months ago
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller