Mirta B. Gordon

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Efficient Adaptive Learning for Classification Tasks with Binary Units

Juan-Manuel Torres-Moreno, Mirta B. Gordon, M. B. Gordon, 1998, Neural Computation.

Numerical simulations of an optimal algorithm for supervised learning

Juan-Manuel Torres-Moreno, Mirta B. Gordon, Arnaud Buhot, 1997, ESANN.

An evolutive architecture coupled with optimal perceptron learning for classification

Juan-Manuel Torres-Moreno, Mirta B. Gordon, Pierre Peretto, 1995, ESANN.

An optimal linear separator for the Sonar Signals Classification task pdf

Juan-Manuel Torres-Moreno, Mirta B. Gordon, 2009, ArXiv.

Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test

Gilles Bisson, Mirta B. Gordon, Samuel Wieczorek, 2006, ECML.

Understanding Stepwise Generalization of Support Vector Machines: a Toy Model

Mirta B. Gordon, Sebastian Risau-Gusman, M. B. Gordon, 1999, NIPS.

Learning and Generalization with Minimerror, A Temperature-Dependent Learning Algorithm

Bruno Raffin, Mirta B. Gordon, M. B. Gordon, 1995, Neural Computation.

Learning properties of Support Vector Machines

Mirta B. Gordon, A. Buhot, 1998 .

MDLChunker: A MDL-Based Cognitive Model of Inductive Learning

Benoît Lemaire, Mirta B. Gordon, Vivien Robinet, 2011, Cogn. Sci..

Minimerror: a perceptron learning rule that finds the optimal weights

Mirta B. Gordon, M. B. Gordon, Dominique Berchier, 1993, The European Symposium on Artificial Neural Networks.

The Minimum Number of Errors in the N-Parity and its Solution with an Incremental Neural Network

Juan-Manuel Torres-Moreno, Mirta B. Gordon, M. B. Gordon, 2002, Neural Processing Letters.

Adaptive Learning with Binary Neurons pdf

Juan-Manuel Torres-Moreno, Mirta B. Gordon, 2009, ArXiv.

Characterization of the Sonar Signals Benchmark

Juan-Manuel Torres-Moreno, Mirta B. Gordon, M. B. Gordon, 1998, Neural Processing Letters.

Storage capacity of the Tilinglike Learning Algorithm

Mirta B. Gordon, Arnaud Buhot, 2001 .

Statistical mechanics of support vector machine

Mirta B. Gordon, Arnaud Buhot, 1999, ESANN.

Inducing High-Level Behaviors from Problem-Solving Traces Using Machine-Learning Tools

Gilles Bisson, Benoît Lemaire, Mirta B. Gordon, 2007, IEEE Intelligent Systems.

Memory capacity of neural networks learning within bounds

Mirta B. Gordon, 1987 .

Learning in feed-forward neural networks by improving the performance

Mirta B. Gordon, Pierre Pereto, Miguel Rodriguez-Girones, 1992 .

Hierarchical Learning in Polynomial Support Vector Machines

Mirta B. Gordon, Sebastian Risau-Gusman, 2004, Machine Learning.

Detection of two Gaussian clusters

Mirta B. Gordon, Arnaud Buhot, 1999, ESANN.

Epidemiological modelling of the 2005 French riots: a spreading wave and the role of contagion

Nancy Rodríguez, Jean-Pierre Nadal, Mirta B. Gordon, 2017, Scientific Reports.

Robust learning and generalization with support vector machines

Mirta B. Gordon, M. B. Gordon, A. Buhot, 2001 .

Storage capacity of a constructive learning algorithm

Mirta B. Gordon, Arnaud Buhot, 2000 .

Statistical mechanics of learning with soft margin classifiers.

Mirta B. Gordon, Sebastian Risau-Gusman, 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.