Mostefa Golea

According to our database, Mostefa Golea authored at least 15 papers between 1992 and 2002.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2002

Generalization Error of Combined Classifiers.

Llew Mason, Peter L. Bartlett, Mostefa Golea

J. Comput. Syst. Sci., 2002

1998

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks.

Alan B. Tickle, Robert Andrews, Mostefa Golea, Joachim Diederich

IEEE Trans. Neural Networks, 1998

1997

Generalization in Decision Trees and DNF: Does Size Matter?

Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

The truth is in there: current issues in extracting rules from trained feedforward artificial neural networks.

Alan B. Tickle, Mostefa Golea, Ross Hayward, Joachim Diederich

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

On learning ?-perceptron networks on the uniform distribution.

Mostefa Golea, Mario Marchand, Thomas R. Hancock

Neural Networks, 1996

Stochastic simple recurrent neural networks.

Mostefa Golea, Masahiro Matsuoka, Yasubumi Sakakibara

Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996

1995

Simple recurrent networks as generalized hidden Markov models with distributed representations.

Yasubumi Sakakibara, Mostefa Golea

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Average case analysis of a learning algorithm for µ-DNF expressions.

Mostefa Golea

Proceedings of the Computational Learning Theory, Second European Conference, 1995

1994

Learning Nonoverlapping Perceptron Networks from Examples and Membership Queries.

Thomas R. Hancock, Mostefa Golea, Mario Marchand

Mach. Learn., 1994

Average Case Analysis of an Hebb-Type Rule that Finds the Network Connectivity.

Mostefa Golea

Int. J. Neural Syst., 1994

1993

On Learning Perceptrons with Binary Weights.

Mostefa Golea, Mario Marchand

Neural Comput., 1993

Polynomial Time Algorithms for Learning Neural Nets of NonoverlappingPerceptrons.

Mostefa Golea, Mario Marchand

Comput. Intell., 1993

On learning simple deterministic and probabilistic neural concepts.

Mostefa Golea, Mario Marchand

Proceedings of the First European Conference on Computational Learning Theory, 1993

Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks.

Mostefa Golea, Mario Marchand

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

On Learning µ-Perceptron Networks with Binary Weights.

Mostefa Golea, Mario Marchand, Thomas R. Hancock

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992