| 2009 |
| 13 | EE | Vivien Robinet,
Gilles Bisson,
Mirta B. Gordon,
Benoît Lemaire:
Induction of High-level Behaviors from Problem-solving Traces using Machine Learning Tools
CoRR abs/0904.0776: (2009) |
| 12 | EE | Juan Manuel Torres Moreno,
Mirta B. Gordon:
Adaptive Learning with Binary Neurons
CoRR abs/0904.4587: (2009) |
| 2007 |
| 11 | EE | Vivien Robinet,
Gilles Bisson,
Mirta B. Gordon,
Benoît Lemaire:
Inducing High-Level Behaviors from Problem-Solving Traces Using Machine-Learning Tools.
IEEE Intelligent Systems 22(4): 22-30 (2007) |
| 2006 |
| 10 | EE | Samuel Wieczorek,
Gilles Bisson,
Mirta B. Gordon:
Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test.
ECML 2006: 817-824 |
| 2002 |
| 9 | | Sebastian Risau-Gusman,
Mirta B. Gordon:
Hierarchical Learning in Polynomial Support Vector Machines.
Machine Learning 46(1-3): 53-70 (2002) |
| 8 | | Juan Manuel Torres Moreno,
Julio C. Aguilar,
Mirta B. Gordon:
The Minimum Number of Errors in the N-Parity and its Solution with an Incremental Neural Network.
Neural Processing Letters 16(3): 201-210 (2002) |
| 1999 |
| 7 | EE | Arnaud Buhot,
Mirta B. Gordon:
Statistical mechanics of support vector machine.
ESANN 1999: 201-206 |
| 6 | EE | Arnaud Buhot,
Mirta B. Gordon:
Detection of two Gaussian clusters.
ESANN 1999: 327-332 |
| 5 | EE | Sebastian Risau-Gusman,
Mirta B. Gordon:
Understanding Stepwise Generalization of Support Vector Machines: a Toy Model.
NIPS 1999: 321-327 |
| 1998 |
| 4 | | Juan Manuel Torres Moreno,
Mirta B. Gordon:
Efficient Adaptive Learning for Classification Tasks with Binary Units.
Neural Computation 10(4): 1007-1030 (1998) |
| 3 | | Juan Manuel Torres Moreno,
Mirta B. Gordon:
Characterization of the Sonar Signals Benchmark.
Neural Processing Letters 7(1): 1-4 (1998) |
| 1997 |
| 2 | | Arnaud Buhot,
Juan Manuel Torres Moreno,
Mirta B. Gordon:
Numerical simulations of an optimal algorithm for supervised learning.
ESANN 1997 |
| 1995 |
| 1 | EE | Bruno Raffin,
Mirta B. Gordon:
Learning and generalization with Minimerror, a temperature-dependent learning algorithm.
Neural Computation 7(6): 1206-1224 (1995) |