Rodney M. Goodman

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Linear Sum Codes for Random Access Memories

Thomas E. Fuja, Chris Heegard, Rodney M. Goodman, 1988, IEEE Trans. Computers.

Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery

Rama Chellappa, Hayit Greenspan, Rodney M. Goodman, 1991, NIPS.

Any code of which we cannot think is good

Rodney M. Goodman, John T. Coffey, R. Goodman, 1990, IEEE Trans. Inf. Theory.

Neural networks for active drag reduction in fully turbulent airflows

Changhoon Lee, Rodney M. Goodman, D. Babcock, 1997 .

The Kanerva memory is stable

Tzi-Dar Chiueh, Rodney M. Goodman, R. Goodman, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

High-capacity exponential associative memories

Rodney M. Goodman, Tzi-Dar Chiueh, 1988, IEEE 1988 International Conference on Neural Networks.

Image smoothing at video rates with analog VLSI

Rodney M. Goodman, A. Moore, 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

Learning Texture Discrimination Rules in a Multiresolution System

Rama Chellappa, Hayit Greenspan, Rodney M. Goodman, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Decision tree design from a communication theory standpoint

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1988, IEEE Trans. Inf. Theory.

Incremental Rule-based Learning

Rodney M. Goodman, Charles M. Higgins, 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

Algorithm Derives Rules From Data

Padhraic Smyth, Rodney M. Goodman, 1991 .

Learning Finite State Machines With Self-Clustering Recurrent Networks

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1993, Neural Computation.

A learning algorithm for multi-layer perceptrons with hard-limiting threshold units

Rodney M. Goodman, Zheng Zeng, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

An Information Theoretic Approach to Rule Induction from Databases

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1992, IEEE Trans. Knowl. Data Eng..

Information-Theoretic Rule Induction

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1988, ECAI.

A Polynomial Time Algorithm for Finding Bayesian Probabilities from Marginal Constraints pdf

Rodney M. Goodman, John W. Miller, R. Goodman, 2013, ArXiv.

On loss functions which minimize to conditional expected values and posterior proba- bilities

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1993, IEEE Trans. Inf. Theory.

Incremental learning with rule-based neural networks

Rodney M. Goodman, Charles M. Higgins, R. M. Goodman, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

A Neural Network Classifier Based on Coding Theory

Tzi-Dar Chiueh, Rodney M. Goodman, 1987, NIPS.

Automated induction of rule-based neural networks from databases

Padhraic Smyth, Rodney M. Goodman, 1993 .

An Information Theoretic Approach to Rule-Based Connectionist Expert Systems

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1988, NIPS.

VLSI Implementation of a Neural Associative Memory and its Application to Vector Quantization

Tzi-Dar Chiueh, Rodney M. Goodman, R. Goodman, 1990 .

Recurrent correlation associative memories and their VLSI implementation

Tzi-Dar Chiueh, Rodney M. Goodman, 1993 .

The Induction of Probabilistic Rule Sets - The Itrule Algorithm

Padhraic Smyth, Rodney M. Goodman, 1989, ML.

Pseudogradient Training For A Class Of Neural Networks

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1995 .

Phased burst error-correcting array codes

Rodney M. Goodman, Robert J. McEliece, Masahiro Sayano, 1993, IEEE Trans. Inf. Theory.

A statistical analysis of neural computation

Rodney M. Goodman, J. A. Cortese, 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

Overcomplete steerable pyramid filters and rotation invariance

Pietro Perona, Hayit Greenspan, Serge J. Belongie, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

VLSI Implementation of a High-Capacity Neural Network Associative Memory

Tzi-Dar Chiueh, Rodney M. Goodman, 1989, NIPS.

Swarm robotic odor localization

Rodney M. Goodman, Alcherio Martinoli, A. T. Hayes, 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

Dynamic charge restoration of floating gate subthreshold MOS translinear circuits

Rodney M. Goodman, Vincent F. Koosh, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

Locally Adaptive Vector Quantization For Image Compression

F. Pollara, Rodney M. Goodman, Kar-Ming Cheung, 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

Real Time Autonomous Expert Systems in Network Management

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1989 .

Rotation invariant texture recognition using a steerable pyramid

Pietro Perona, Hayit Greenspan, Serge J. Belongie, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

A Rule-Based Approach to Neural Network Classifiers

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1990 .

A digital neural network architecture using random pulse trains

G. Erten, Rodney M. Goodman, G. Erten, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Single Phased Burst Error Correcting Array Codes

Rodney M. Goodman, Robert J. McEliece, R. M. Goodman, 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

Swarm robotic odor localization

NOAA: an expert system managing the telephone network

Rodney M. Goodman, C. T. Ulmer, Hayes Latin, 1995, Integrated Network Management.

Self-clustering recurrent networks

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1993, IEEE International Conference on Neural Networks.

Keyword spotting for cursive document retrieval

Rodney M. Goodman, P. Keaton, Hayit Greenspan, 1997, Proceedings Workshop on Document Image Analysis (DIA'97).

Network Operators Advice and Assistance (NOAA): a real-time traffic rerouting expert system

Rodney M. Goodman, Hayes Latin, Barry Edward Ambrose, 1992, [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE.

A Hybrid Rule-Based/Bayesian Classifier

Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins, 1990, ECAI.

Dynamic charge restoration of floating gate subthreshold MOS translinear circuits

Rodney M. Goodman, Vincent F. Koosh, 2001, Proceedings 2001 Conference on Advanced Research in VLSI. ARVLSI 2001.

Recurrent correlation associative memories

Rodney M. Goodman, Tzi-Dar Chiueh, R. Goodman, 1991, IEEE Trans. Neural Networks.

Discrete recurrent neural networks for grammatical inference

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1994, IEEE Trans. Neural Networks.

Recurrent neural networks for grammatical inference

Rodney M. Goodman, Zheng Zeng, 1994 .

Comparing Distributed Exploration Strategies with Simulated and Autonomous Robots

Rodney M. Goodman, Alcherio Martinoli, A. T. Hayes, 2000, DARS.

Rule-based analysis and generation of music

Rodney M. Goodman, Randall Richard Spangler, 1999 .

New approaches to reduced-complexity decoding

Rodney M. Goodman, Patrick G. Farrell, John T. Coffey, 1991, Discret. Appl. Math..

Decision tree design using information theory

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1990, Knowledge Acquisition.

Probability Estimator from a Database Using a Gibbs Energy Model

Rodney M. Goodman, John W. Miller, R. Goodman, 1992, NIPS.

A Hybrid Expert System/Neural Network Traffic Advice System

Rodney M. Goodman, Hayes Latin, Barry Ambrose, 1993, Integrated Network Management.

An Information Theoretic Approach to Modeling Neural Network Expert Systems

Padhraic Smyth, Rodney M. Goodman, J. W. Miller, 1989, IEEE/CAM Information Theory Workshop at Cornell.

A scalable, distributed algorithm for allocating workers in embedded systems

Rodney M. Goodman, Alcherio Martinoli, William Agassounon, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

The Reliability of Single-Error Protected Computer Memories

Mario Blaum, Rodney M. Goodman, Robert J. McEliece, 1988, IEEE Trans. Computers.

Fuzzy rule-based networks for control

Rodney M. Goodman, Charles M. Higgins, R. Goodman, 1994, IEEE Trans. Fuzzy Syst..

Distributed odor source localization

Rodney M. Goodman, Alcherio Martinoli, A. T. Hayes, 2002 .

Learning algorithms for neural networks with ternary weights

Tzi-Dar Chiueh, Rodney M. Goodman, R. Goodman, 1988, Neural Networks.

The complexity of information set decoding

Rodney M. Goodman, John T. Coffey, R. Goodman, 1990, IEEE Trans. Inf. Theory.

Remote Sensing Image Analysis via a Texture Classification Neural Network

Hayit Greenspan, Rodney M. Goodman, 1992, NIPS.

Texture Classification Using Information Theory

Rodney M. Goodman, H. K. Greenspan, 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

Rule Induction Using Information Theory

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1991, Knowledge Discovery in Databases.

Learning Fuzzy Rule-Based Neural Networks for Control

Rodney M. Goodman, Charles M. Higgins, R. Goodman, 1992, NIPS.

Automated Induction of Rule-based Neural

Rodney M. Goodman, 1993 .

Bach in a Box - Real-Time Harmony

Rodney M. Goodman, Randall R. Spangler, Jim Hawkins, 1997, NIPS.

Analog VLSI implementation for stereo correspondence between 2-D images

Rodney M. Goodman, Gamze Erten, 1996, IEEE Trans. Neural Networks.

Rule-Based Neural Networks for Classification and Probability Estimation

Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins, 1992, Neural Computation.

Automated Induction Of Rule-Based Neural Networks

Padhraic Smyth, Rodney M. Goodman, 1994 .

Analog VLSI system for active drag reduction

Rodney M. Goodman, Yu-Chong Tai, Chih-Ming Ho, 1996, IEEE Micro.

Discrete Recurrent Neural Networks as Pushdown Automata

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1993 .

VLSI neural network with digital weights and analog multipliers

Rodney M. Goodman, Vincent F. Koosh, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

Speaking of Communication

Rodney M. Goodman, Edward C. Posner, Robert J. McEliece, 1986 .

A real-time neural system for color constancy

Rodney M. Goodman, Andrew W. Moore, John Allman, 1991, IEEE Trans. Neural Networks.

A VLSI Neural Network for Color Constancy

Geoffrey C. Fox, Rodney M. Goodman, Andrew W. Moore, 1990, NIPS.

The reliability of semiconductor RAM memories with on-chip error-correction coding

Rodney M. Goodman, Masahiro Sayano, R. Goodman, 1991, IEEE Trans. Inf. Theory.

9 Rule Induction using Information Theory

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 2002 .