Learning Kernels by Alignment for Multiclass Bayes Classification
A principled learned-kernel framework is established that unifies representation learning, kernel alignment, and Bayesian classification, and extends naturally to the multiclass setting.
Hollan Haule, Javier Escudero
· 0 citations