Robust Stability of Markovian Jump Stochastic Neural Networks with Time Delays in the Leakage Terms
Exploiting Chaos in Learning System Identification for Nonlinear State Space Models
Face Recognition Via Weighted Two Phase Test Sample Sparse Representation
Neural Network Ensembles in Reinforcement Learning
Finite-Time Function Projective Synchronization in Complex Multi-links Networks with Time-Varying Delay
Robust Support Vector Regression with Generalized Loss Function and Applications
Adaptive Constraint Propagation for Semi-Supervised Kernel Matrix Learning
Effective Parameter Tuning of SVMs Using Radius/Margin Bound Through Data Envelopment Analysis
Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression