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» Global Optimization Applied to the Oscillator Problem
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NIPS
2007
13 years 10 months ago
Bundle Methods for Machine Learning
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
FOCI
2007
IEEE
14 years 3 months ago
On the Convergence of Immune Algorithms
Immune Algorithms have been used widely and successfully in many computational intelligence areas including optimization. Given the large number of variants of each operator of thi...
Vincenzo Cutello, Giuseppe Nicosia, Mario Romeo, P...
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 9 months ago
Learning to rank with combinatorial Hodge theory
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
MP
2011
13 years 4 months ago
Statistical ranking and combinatorial Hodge theory
We propose a number of techniques for obtaining a global ranking from data that may be incomplete and imbalanced — characteristics that are almost universal to modern datasets co...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
ICNC
2005
Springer
14 years 2 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao