Tal Grossman

Publication Activity (10 Years)

Years Active: 1988-1998
Publications (10 Years): 0

Publications

David H. Wolpert, Emanuel Knill, Tal Grossman
Some results concerning off-training-set and IID error for the Gibbs and the Bayes optimal generalizers. Stat. Comput. 8 (1) (1998)
Tal Grossman, Robert M. Farber, Alan S. Lapedes
Neural Net Representations of Empirical Protein Potentials. ISMB (1995)
Tal Grossman, Alan S. Lapedes
Noise sensitivity signatures for model selection. ICPR (2) (1994)
Tal Grossman, Arun Jagota
On the equivalence of two Hopfield-type networks. ICNN (1993)
Amir A. Handzel, Tal Grossman, Eytan Domany, Shlomit Tarem, Ehud Duchovni
A Neural Network Classifier In Experimental Particle Physics. Int. J. Neural Syst. 4 (2) (1993)
Tal Grossman
Applying the INN model to the Maximum Clique problem. Cliques, Coloring, and Satisfiability (1993)
Tal Grossman, Alan S. Lapedes
Use of Bad Training Data for Better Predictions. NIPS (1993)
Harel Z. Shouval, Isaac Shariv, Tal Grossman, Asher A. Friesem, Eytan Domany
An All-Optical Hopfield Network: Theory and Experiment. Int. J. Neural Syst. 1 (4) (1991)
Dimitry Nabutovsky, Tal Grossman, Eytan Domany
Complex Systems: Errata and Changes. Complex Syst. 5 (6) (1991)
Dimitry Nabutovsky, Tal Grossman, Eytan Domany
Learning by CHIR without Storing Internal Representations. Complex Syst. 4 (5) (1990)
Tal Grossman
The CHIR Algorithm: A Generalization for Multiple-Output and Multilayered Networks. Complex Syst. 3 (5) (1989)
Tal Grossman
The CHIR Algorithm for Feed Forward Networks with Binary Weights. NIPS (1989)
Tal Grossman, Ronny Meir, Eytan Domany
Learning by Choice of Internal Representations. Complex Syst. 2 (5) (1988)
Tal Grossman, Ronny Meir, Eytan Domany
Learning by Choice of Internal Representations. NIPS (1988)