A kernel-based causal learning algorithm
Measuring Statistical Dependence with Hilbert-Schmidt Norms
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
New Support Vector Algorithms
Neural Computation
Proceedings of the 24th international conference on Machine learning - ICML ’07
Algorithmic Learning Theory
Alex Smola
Olivier Bousquet
Arthur Gretton
Peter L. Bartlett
Robert C. Williamson
Klaus-Robert Müller
Correlação Entre Complexidade e Dificuldade de Questões de Programação em Juízes Online
1-norm support vector machine for college drinking risk factor identification