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» Smooth Optimization for Effective Multiple Kernel Learning
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CIKM
2010
Springer
14 years 7 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
CVPR
2006
IEEE
15 years 11 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
CORR
1999
Springer
98views Education» more  CORR 1999»
14 years 9 months ago
A variational description of the ground state structure in random satisfiability problems
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our ...
Giulio Biroli, Rémi Monasson, Martin Weigt
BMCBI
2006
175views more  BMCBI 2006»
14 years 9 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
CVPR
2005
IEEE
15 years 3 months ago
Robust Face Detection with Multi-Class Boosting
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...
Yen-Yu Lin, Tyng-Luh Liu