Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex...
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
In this paper we present the application of a particular neuro-fuzzy system, named KERNEL, to the problem of differential diagnosis of erythematosquamous diseases, which represen...
Giovanna Castellano, Ciro Castiello, Anna Maria Fa...
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
This paper presents HyFlex, a software framework for the development of cross-domain search methodologies. The framework features a common software interface for dealing with diff...
Gabriela Ochoa, Matthew R. Hyde, Timothy Curtois, ...