Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications
Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreǐn Spaces
Learning to Rank with Extreme Learning Machine
New Results on Exponential Convergence for HRNNs with Continuously Distributed Delays in the Leakage Terms
Generalization Bounds of Regularization Algorithm with Gaussian Kernels
Extension of a Kernel-Based Classifier for Discriminative Spoken Keyword Spotting