Active Bibliography

18 Complexity Issues in Discrete Hopfield Networks – Patrik Floreen , Pekka Orponen - 1994
2 Faithful Representations and Moments of Satisfaction: Probabilistic Methods in Learning and Logic – Lidror Troyansky, Prof Naftali Tishby - 1998
4 Part 1: Overview of the Probably Approximately Correct (PAC) Learning Framework – David Haussler - 1995
2 Artificial neurons with arbitrarily complex internal structures – G. A. Kohring
1 Perceptrons – Peter Sussner
4 Learning Algorithms in Neural Networks – Francisco A. Camargo - 1990
25 A Neural Network Primer – HervĂ© Abdi - 1994
22 Computational Complexity Of Neural Networks: A Survey – Pekka Orponen - 1994
10 Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning – J. -p. Nadal, N. Parga - 1992
6 Sequential Constructive Techniques – Marco Muselli - 1998
13 The Informational Complexity of Learning from Examples – Partha Niyogi - 1996
10 Catastrophic forgetting and the pseudo-rehearsal solution in Hopfield-type networks – Anthony Robins, Simon Mccallum - 1998
9 Generativity and Systematicity in Neural Network Combinatorial Learning – Olivier Brousse - 1993
1 Learnability – Jeffrey Heinz, Jason Riggle
1 Implementing neural models in silicon – Leslie S. Smith - 2004
58 Artificial Neural Networks: A Tutorial – Anil K. Jain, Jianchang Mao, K. Mohiuddin - 1996
9 Linear and order statistics combiners for reliable pattern classification – Kagan Tumer - 1996
ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY. I: PRELIMINARY CONCEPTS – n.n.
24 Transferring Previously Learned Back-Propagation Neural Networks To New Learning Tasks – L. Y. Pratt - 1993