15 citations · 43 across the 12 of their papers we have counts for
12 papers
An optimal linear separator for the Sonar Signals Classification task
Juan-Manuel Torres-Moreno, Mirta B. Gordon
The problem of classifying sonar signals from rocks and mines first studied by Gorman and Sejnowski has become a benchmark against which many learning algorithms have been tested.…
Adaptive Learning with Binary Neurons
Juan-Manuel Torres-Moreno, Mirta B. Gordon
A efficient incremental learning algorithm for classification tasks, called NetLines, well adapted for both binary and real-valued input patterns is presented. It generates small c…
Learning curves for Soft Margin Classifiers
Sebastian Risau-Gusman, Mirta B. Gordon
Typical learning curves for Soft Margin Classifiers (SMCs) learning both realizable and unrealizable tasks are determined using the tools of Statistical Mechanics. We derive the an…
Rigorous Bounds to Retarded Learning
Arnaud Buhot, Mirta B. Gordon, Jean-Pierre Nadal
We show that the lower bound to the critical fraction of data needed to infer (learn) the orientation of the anisotropy axis of a probability distribution, determined by Herschkowi…
Statistical Mechanics of Soft Margin Classifiers
Sebastian Risau-Gusman, Mirta B. Gordon
We study the typical learning properties of the recently introduced Soft Margin Classifiers (SMCs), learning realizable and unrealizable tasks, with the tools of Statistical Mechan…
Hierarchical learning in polynomial Support Vector Machines
Sebastian Risau-Gusman, Mirta B. Gordon
We study the typical properties of polynomial Support Vector Machines within a Statistical Mechanics approach that allows us to analyze the effect of different normalizations of th…