most citedNonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2012

An adjoint control method for initial condition identification of the Abstract Cauchy problem

Cary Humber, Kazufumi Ito

This paper develops and analyzes a generic method for reconstructing solutions to the abstract Cauchy problem in a general Hilbert space, from noisy measured data. The method is ba…

math.OC2010★ 8 cited

Nonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem

Cary Humber, Kazufumi Ito, Chad Bouton

This paper formulates a generalized classification algorithm with an application to classifying (or `decoding') neural activity in the brain. Medical doctors and researchers have l…