Tal Grossman

14 papers A 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
1998 J jnl
Some results concerning off-training-set and IID error for the Gibbs and the Bayes optimal generalizers.
Stat. Comput.
David H. Wolpert, Emanuel Knill, Tal Grossman
1995 A conf
Neural Net Representations of Empirical Protein Potentials.
ISMB
Tal Grossman, Robert M. Farber, Alan S. Lapedes
1994 — conf
Noise sensitivity signatures for model selection.
ICPR (2)
Tal Grossman, Alan S. Lapedes
1993 J jnl
A Neural Network Classifier In Experimental Particle Physics.
Int. J. Neural Syst.
Amir A. Handzel, Tal Grossman, Eytan Domany, Shlomit Tarem, Ehud Duchovni
1993 — conf
Applying the INN model to the Maximum Clique problem.
Cliques, Coloring, and Satisfiability
Tal Grossman
1993 — conf
On the equivalence of two Hopfield-type networks.
ICNN
Tal Grossman, Arun Jagota
1993 — conf
Use of Bad Training Data for Better Predictions.
NIPS
Tal Grossman, Alan S. Lapedes
1991 J jnl
An All-Optical Hopfield Network: Theory and Experiment.
Int. J. Neural Syst.
Harel Z. Shouval, Isaac Shariv, Tal Grossman, Asher A. Friesem, Eytan Domany
1991 J jnl
Complex Systems: Errata and Changes.
Complex Syst.
Dimitry Nabutovsky, Tal Grossman, Eytan Domany
1990 J jnl
Learning by CHIR without Storing Internal Representations.
Complex Syst.
Dimitry Nabutovsky, Tal Grossman, Eytan Domany
1989 — conf
The CHIR Algorithm for Feed Forward Networks with Binary Weights.
NIPS
Tal Grossman
1989 J jnl
The CHIR Algorithm: A Generalization for Multiple-Output and Multilayered Networks.
Complex Syst.
Tal Grossman
1988 — conf
Learning by Choice of Internal Representations.
NIPS
Tal Grossman, Ronny Meir, Eytan Domany
1988 J jnl
Learning by Choice of Internal Representations.
Complex Syst.
Tal Grossman, Ronny Meir, Eytan Domany