2002 |
11 | EE | Llew Mason,
Peter L. Bartlett,
Mostefa Golea:
Generalization Error of Combined Classifiers.
J. Comput. Syst. Sci. 65(2): 415-438 (2002) |
1998 |
10 | EE | Alan B. Tickle,
Robert Andrews,
Mostefa Golea,
Joachim Diederich:
The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks.
IEEE Transactions on Neural Networks 9(6): 1057-1068 (1998) |
1997 |
9 | | Mostefa Golea,
Peter L. Bartlett,
Wee Sun Lee,
Llew Mason:
Generalization in Decision Trees and DNF: Does Size Matter?
NIPS 1997 |
1996 |
8 | | Mostefa Golea,
Masahiro Matsuoka,
Yasubumi Sakakibara:
Stochastic simple recurrent neural networks.
ICGI 1996: 262-273 |
7 | EE | Mostefa Golea,
Mario Marchand,
Thomas R. Hancock:
On learning ?-perceptron networks on the uniform distribution.
Neural Networks 9(1): 67-82 (1996) |
1995 |
6 | | Mostefa Golea:
Average case analysis of a learning algorithm for µ-DNF expressions.
EuroCOLT 1995: 342-356 |
1994 |
5 | EE | Mostefa Golea:
Average Case Analysis of an Hebb-Type Rule that Finds the Network Connectivity.
Int. J. Neural Syst. 5(2): 115-122 (1994) |
4 | | Thomas R. Hancock,
Mostefa Golea,
Mario Marchand:
Learning Nonoverlapping Perceptron Networks from Examples and Membership Queries.
Machine Learning 16(3): 161-183 (1994) |
1993 |
3 | EE | Mostefa Golea,
Mario Marchand:
Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks.
COLT 1993: 151-157 |
2 | | Mostefa Golea,
Mario Marchand:
Polynomial Time Algorithms for Learning Neural Nets of NonoverlappingPerceptrons.
Computational Intelligence 9: 155-170 (1993) |
1992 |
1 | EE | Mostefa Golea,
Mario Marchand,
Thomas R. Hancock:
On Learning µ-Perceptron Networks with Binary Weights.
NIPS 1992: 591-598 |