Introduction to Grey system theory
The Journal of Grey System
Complexity Results on Learning by Neural Nets
Machine Learning
Machine Learning
Convergence of the simulated annealing algorithm for continuous global optimization
Journal of Optimization Theory and Applications
Visualization of a set of parameters characterized by their correlation matrix
Computational Statistics & Data Analysis
Principles of data mining
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Self-Organizing Maps
Augmented Lagrangian Duality and Nondifferentiable Optimization Methods in Nonconvex Programming
Journal of Global Optimization
Complexity of Connectionist Learning with Various Node Functions
Complexity of Connectionist Learning with Various Node Functions
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Optimization of the Local Search in the Training for SAMANN Neural Network
Journal of Global Optimization
Artificial neural networks for feature extraction and multivariate data projection
IEEE Transactions on Neural Networks
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Recent changes in the intersection of the fields of intelligent systems optimization and statistical learning are surveyed. These changes bring new theoretical and computational challenges to the existing research areas racing from web page mining to computer vision, pattern recognition, financial mathematics, bioinformatics and many other ones.