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» Gradient Convergence in Gradient methods with Errors
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155
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JMLR
2012
13 years 5 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
145
Voted
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
15 years 9 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
117
Voted
INTERSPEECH
2010
14 years 10 months ago
Semi-supervised training of Gaussian mixture models by conditional entropy minimization
In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, whi...
Jui-Ting Huang, Mark Hasegawa-Johnson
CEC
2008
IEEE
15 years 10 months ago
Natural Evolution Strategies
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
Daan Wierstra, Tom Schaul, Jan Peters, Jürgen...
186
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VIS
2008
IEEE
192views Visualization» more  VIS 2008»
16 years 4 months ago
Smooth Surface Extraction from Unstructured Point-based Volume Data Using PDEs
Abstract--Smooth surface extraction using partial differential equations (PDEs) is a well-known and widely used technique for visualizing volume data. Existing approaches operate o...
Paul Rosenthal, Lars Linsen