Stephen I. Gallant

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Predicting Severe Sepsis Using Text from the Electronic Health Record pdf

Phil Culliton, Michael Levinson, Alice Ehresman, 2017, ArXiv.

Feedback and Mixing Experiments with MatchPlus

Stephen I. Gallant, Robert Hecht-Nielsen, William R. Caid, 1993, TREC.

Automated generation of connectionist expert systems for problems involving noise and redundancy pdf

Stephen I. Gallant, 1988, Int. J. Approx. Reason..

Learning in Single-Layer Models

Stephen I. Gallant, 1993 .

HNC's MatchPlus system

Stephen I. Gallant, Robert Hecht-Nielsen, William R. Caid, 1992, SIGF.

Neural Network Expert Systems

Stephen I. Gallant, S. I. Gallant, 1993 .

Context Vectors: A Step Toward a "Grand Unified Representation"

Stephen I. Gallant, S. I. Gallant, 1998, Hybrid Neural Systems.

TIPSTER Panel - HNC's MatchPlus System

Stephen I. Gallant, Robert Hecht-Nielsen, William R. Caid, 1992, TREC.

A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks

Stephen I. Gallant, 1991, Neural Computation.

Expert Systems and Neural Networks

Stephen I. Gallant, 1993 .

Positional binding with distributed representations

Phil Culliton, Stephen I. Gallant, S. I. Gallant, 2016, 2016 International Conference on Image, Vision and Computing (ICIVC).

Neural network learning and expert systems

Stephen I. Gallant, S. I. Gallant, 1993 .

Backpropagation: Variations and Applications

Stephen I. Gallant, 1993 .

Connectionist expert systems

Stephen I. Gallant, S. I. Gallant, 1988, CACM.

Fuzziness and expert system generation

Mark Frydenberg, Stephen I. Gallant, S. I. Gallant, 1986, IPMU.

Image retrieval using image context vectors

Stephen I. Gallant, David M. Fram, D. Fram, 1995, Other Conferences.

Image retrieval using image context vectors: first results

Stephen I. Gallant, Michael F. Johnston, S. I. Gallant, 1995, Electronic Imaging.

Representing Objects, Relations, and Sequences

Stephen I. Gallant, T. Wendy Okaywe, S. I. Gallant, 2013, Neural Computation.

TIPSTER Phase I Final Report

Stephen I. Gallant, William R. Caid, Joel Carleton, 1993, TIPSTER.

A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks

Stephen I. Gallant, S. I. Gallant, 1991, Neural Computation.

Simulated Annealing and Boltzmann Machines

Stephen I. Gallant, 1993 .

Perceptron-based learning algorithms

Stephen I. Gallant, S. I. Gallant, 1990, IEEE Trans. Neural Networks.

Autoassociators and One-Shot Learning

Stephen I. Gallant, S. I. Gallant, 1993 .

A connectionist learning algorithm with provable generalization and scaling bounds

Stephen I. Gallant, S. I. Gallant, 1990, Neural Networks.

Tipster: Phase I

Stephen I. Gallant, Joel Carleton, David Sudbeck, 1993 .

Multi-Layer Versus Single-Layer Neural Networks and an Application to Reading Hand-Stamped Characters

Yoichi Hayashi, Stephen I. Gallant, Masateru Sakata, 1990 .

Expert systems and decision systems using neural networks

Stephen I. Gallant, S. I. Gallant, 1998 .

Noise, Redundancy, Fault Detection, and Bayesian Decision Theory

Stephen I. Gallant, 1993 .

Perceptron Learning and the Pocket Algorithm

Stephen I. Gallant, 1993 .

Learning in Multilayer Models

Stephen I. Gallant, 1993 .

MatchPlus: A Context Vector System for Document Retrieval

Stephen I. Gallant, William R. Caid, S. I. Gallant, 1993, HLT.

A Neural Network Expert System with Confidence Measurements

Yoichi Hayashi, Stephen I. Gallant, S. I. Gallant, 1990, IPMU.

Computational Learning Theory and the Brd Algorithm

Stephen I. Gallant, 1993 .

Learned Vector-Space Models for Document Retrieval

Susan T. Dumais, Stephen I. Gallant, William R. Caid, 1995, Inf. Process. Manag..

Winner-Take-All Groups or Linear Machines

Stephen I. Gallant, S. I. Gallant, 1993 .

Bayesian Assessment of a Connectionist Model for Fault Detection pdf

Stephen I. Gallant, 2013, ArXiv.

A neural network model for sequential tasks

Stephen I. Gallant, 1988, Neural Networks.

Extracting Rules From Networks

Stephen I. Gallant, 1993 .

Automatic Generation of Expert Systems from Examples

Stephen I. Gallant, 1985, CAIA.

DataWords: Getting Contrarian with Text, Structured Data and Explanations pdf

Stephen I. Gallant, S. I. Gallant, Mirza Nasir Hossain, 2021, IntelliSys.

Mean Squared Error (Mse) Algorithms

Stephen I. Gallant, S. I. Gallant, 1993 .