Twin Gaussian Processes for Structured Prediction

Conditional Neural Fields

Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression

Fast Algorithms for Large Scale Conditional 3D Prediction

Working Set Selection Using Functional Gain for LS-SVM

Fast Sparse Approximation for Least Square Support Vector Machine

Recursive Finite Newton Algorithm for Support Vector Regression in the Primal

Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-one-out Cross Validation