Mirta B. Gordon

According to our database1, Mirta B. Gordon authored at least 20 papers between 1993 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2017
Epidemiological modeling of the 2005 French riots: a spreading wave and the role of contagion.
CoRR, 2017

2011
MDLChunker: A MDL-Based Cognitive Model of Inductive Learning.
Cogn. Sci., 2011

2009
An optimal linear separator for the Sonar Signals Classification task
CoRR, 2009

Adaptive Learning with Binary Neurons
CoRR, 2009

Induction of High-level Behaviors from Problem-solving Traces using Machine Learning Tools
CoRR, 2009

2007
Inducing High-Level Behaviors from Problem-Solving Traces Using Machine-Learning Tools.
IEEE Intell. Syst., 2007

2006
Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test.
Proceedings of the Machine Learning: ECML 2006, 2006

2002
The Minimum Number of Errors in the N-Parity and its Solution with an Incremental Neural Network.
Neural Process. Lett., 2002

SpikeCell: a deterministic spiking neuron.
Neural Networks, 2002

Hierarchical Learning in Polynomial Support Vector Machines.
Mach. Learn., 2002

1999
Understanding Stepwise Generalization of Support Vector Machines: a Toy Model.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Detection of two Gaussian clusters.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Statistical mechanics of support vector machine.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Characterization of the Sonar Signals Benchmark.
Neural Process. Lett., 1998

Efficient Adaptive Learning for Classification Tasks with Binary Units.
Neural Comput., 1998

1997
Numerical simulations of an optimal algorithm for supervised learning.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1996
A convergence theorem for incremental learning with real-valued inputs.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Learning and generalization with Minimerror, a temperature-dependent learning algorithm.
Neural Comput., 1995

An evolutive architecture coupled with optimal perceptron learning for classification.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1993
Minimerror: a perceptron learning rule that finds the optimal weights.
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993


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