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Tal Grossman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tal Grossman, Robert M. Farber, Alan S. Lapedes
    Neural Net Representations of Empirical Protein Potentials. [Citation Graph (0, 0)][DBLP]
    ISMB, 1995, pp:154-161 [Conf]
  2. Tal Grossman
    The CHIR Algorithm for Feed Forward Networks with Binary Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:516-523 [Conf]
  3. Tal Grossman, Alan S. Lapedes
    Use of Bad Training Data for Better Predictions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:343-350 [Conf]
  4. Tal Grossman, Ronny Meir, Eytan Domany
    Learning by Choice of Internal Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1988, pp:73-80 [Conf]
  5. Amir A. Handzel, Tal Grossman, Eytan Domany, Shlomit Tarem, Ehud Duchovni
    A Neural Network Classifier In Experimental Particle Physics. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1993, v:4, n:2, pp:95-108 [Journal]
  6. Harel Shouval, Isaac Shariv, Tal Grossman, Asher A. Friesem, Eytan Domany
    An All-Optical Hopfield Network: Theory and Experiment. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1991, v:1, n:4, pp:355-360 [Journal]

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