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ESWA
2007
127views more  ESWA 2007»
14 years 11 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
NIPS
1997
15 years 1 months ago
Multi-modular Associative Memory
Recent imaging studies suggest that object knowledge is stored in the brain as a distributed network of many cortical areas. Motivated by these observations, we study a multi-modu...
Nir Levy, David Horn, Eytan Ruppin
CP
1999
Springer
15 years 4 months ago
The Theory of Discrete Lagrange Multipliers for Nonlinear Discrete Optimization
In this paper we present a Lagrange-multiplier formulation of discrete constrained optimization problems, the associated discrete-space first-order necessary and sufficient condit...
Benjamin W. Wah, Zhe Wu
DATAMINE
1998
145views more  DATAMINE 1998»
14 years 11 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
SIAMJO
2008
109views more  SIAMJO 2008»
14 years 11 months ago
A Regularized Smoothing Newton Method for Symmetric Cone Complementarity Problems
This paper extends the regularized smoothing Newton method in vector optimization to symmetric cone optimization, which provide a unified framework for dealing with the nonlinear ...
Lingchen Kong, Jie Sun, Naihua Xiu