Alan S. Lapedes

发表

A parallel non-neural trigger tracker for the SSC

Robert M. Farber, W. Kinnison, Alan S. Lapedes, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

A self-optimizing, nonsymmetrical neural net for content addressable memory and pattern recognition

Alan S. Lapedes, R Farber, A. Lapedes, 1986 .

Neural Network Definition of Highly Predictable Protein Secondary Structure Classes

Robert M. Farber, Evan W. Steeg, Alan S. Lapedes, 1993, NIPS.

Neural Net Representations of Empirical Protein Potentials

Tal Grossman, Robert M. Farber, Alan S. Lapedes, 1995, ISMB.

On Exhaustive Learning

David H. Wolpert, Alan S. Lapedes, 2018 .

Neural Networks for Determining Protein Specificity and Multiple Alignment of Binding Sites

Gary D. Stormo, John M. Heumann, Alan S. Lapedes, 1994, ISMB.

Identification of Continuous-Time Dynamical Systems: Neural Network Based Algorithms and Parallel Implementation

Ioannis G. Kevrekidis, Robert M. Farber, Alan S. Lapedes, 1993, PPSC.

Noise sensitivity signatures for model selection

Tal Grossman, Alan S. Lapedes, A. Lapedes, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Use of Bad Training Data for Better Predictions

Tal Grossman, Alan S. Lapedes, 1993, NIPS.

Use of adaptive networks to define highly predictable protein secondary-structure classes

Robert M. Farber, Evan W. Steeg, Alan S. Lapedes, 1995, Machine Learning.

Programming a massively parallel, computation universal system: Static behavior

Robert M. Farber, Alan S. Lapedes, A. Lapedes, 1987 .

Lorentzian neural nets

Alan S. Lapedes, Lon Chang Liu, Bertrand G. Giraud, 1995, Neural Networks.

How Neural Nets Work

Robert M. Farber, Alan S. Lapedes, A. Lapedes, 1987, NIPS.

A complex systems approach to computational molecular biology

Alan S. Lapedes, 1993 .

A Maximum Entropy Formalism for Disentangling Chains of Correlated Sequence Positions

Gary D. Stormo, Alan S. Lapedes, B. G. Giraud, 1998, ISMB 1998.

Genetic Signatures in the Envelope Glycoproteins of HIV-1 that Associate with Broadly Neutralizing Antibodies

Ming Li, Feng Gao, Amit Kumar, 2010, PLoS Comput. Biol..

Application of neural nets to system identification and bifurcation analysis of real world experimental data

I. G. Kevrekidis, John L. Hudson, Robert M. Farber, 1990 .

SAMIE: Statistical Algorithm for Modeling Interaction Energies

Gary D. Stormo, Panayiotis V. Benos, Alan S. Lapedes, 2000, Pacific Symposium on Biocomputing.

Analysis of Correlations Between Sites in Models of Protein Sequences

Alan S. Lapedes, Lon Chang Liu, B. G. Giraud, 1998 .

Recognition of Homo- and Heterosubtypic Variants of Influenza A Viruses by Human CD8+ T Lymphocytes1

Alan S. Lapedes, Albert D. M. E. Osterhaus, A. Lapedes, 2004, The Journal of Immunology.

The Global Circulation of Seasonal Influenza A (H3N2) Viruses

Colin A. Russell, Alan S. Lapedes, Terry C. Jones, 2008, Science.

Farber A self - optimizing nonsymmetri - cal neural net for content addressable memory and pattern r

Alan S. Lapedes, Michel Robert, 1986 .

Successive approximation radial basis function networks for nonlinear modeling and prediction

Alan S. Lapedes, Xiangdong He, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Covariation of Mutations in the V3 Loop of HIV-1: An Information Theoretic Analysis

Alan S. Lapedes, Bette T. Korber, R. M. Farber, 1995 .

Recurrent Signature Patterns in HIV-1 B Clade Envelope Glycoproteins Associated with either Early or Chronic Infections

Feng Gao, Bette Korber, Tongye Shen, 2011, PLoS pathogens.

Modeling the effects of updating the influenza vaccine on the efficacy of repeated vaccination

Alan S. Perelson, Stephanie Forrest, Alan S. Lapedes, 2000 .

Nonlinear signal processing and system identification: applications to time series from electrochemical reactions

Ioannis G. Kevrekidis, John L. Hudson, Robert M. Farber, 1990 .