Infinite Kernel Learning
Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma
Introduction to Kernel Methods
Fitting a Graph to Vector Data
Second Order Optimization of Kernel Parameters
Machine Learning in Computational Biology (the frequentist approach)
Partial Order Embedding with Multiple Kernels
Spherical Embedding and Classification
Metric Embedding for Kernel Classification Rules
Machine learning and kernel methods for computer vision