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Rodney M. Goodman
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2010 – 2019
- 2013
- [i1]John W. Miller, Rodney M. Goodman:
A Polynomial Time Algorithm for Finding Bayesian Probabilities from Marginal Constraints. CoRR abs/1304.1104 (2013)
2000 – 2009
- 2006
- [c26]Kea-Tiong Tang, Rodney M. Goodman:
Towards a Wearable Electronic Nose Chip. CICC 2006: 273-276 - 2003
- [j24]Adam T. Hayes, Alcherio Martinoli
, Rodney M. Goodman:
Swarm robotic odor localization: Off-line optimization and validation with real robots. Robotica 21(4): 427-441 (2003) - 2001
- [c25]Vincent F. Koosh, Rodney M. Goodman:
Dynamic Charge Restoration of Floating Gate Subthreshold MOS Translinear Circuits. ARVLSI 2001: 163-171 - [c24]Adam T. Hayes, Alcherio Martinoli, Rodney M. Goodman:
Swarm robotic odor localization. IROS 2001: 1073-1078 - [c23]Vincent F. Koosh, Rodney M. Goodman:
Dynamic charge restoration of floating gate subthreshold MOS translinear circuits. ISCAS (1) 2001: 33-36 - [c22]Vincent F. Koosh, Rodney M. Goodman:
VLSI neural network with digital weights and analog multipliers. ISCAS (3) 2001: 233-236 - [c21]William Agassounon, Alcherio Martinoli, Rodney M. Goodman:
A scalable, distributed algorithm for allocating workers in embedded systems. SMC 2001: 3367-3373 - 2000
- [c20]Adam T. Hayes, Alcherio Martinoli, Rodney M. Goodman:
Comparing Distributed Exploration Strategies with Simulated and Autonomous Robots. DARS 2000: 261-272 - [c19]Jeffrey A. Dickson, Rodney M. Goodman:
Integrated chemical sensors based on carbon black and polymer films using a standard CMOS process and post-processing. ISCAS 2000: 341-344
1990 – 1999
- 1997
- [c18]Randall R. Spangler, Rodney M. Goodman, Jim Hawkins:
Bach in a Box - Real-Time Harmony. NIPS 1997: 957-963 - 1996
- [j23]Bhusan Gupta, Rodney M. Goodman, Fukang Jiang, Yu-Chong Tai, Steve Tung, Chih-Ming Ho
Analog VLSI system for active drag reduction. IEEE Micro 16(5): 53-59 (1996) - [j22]Barry E. Ambrose, Rodney M. Goodman:
Neural networks applied to traffic management in telephone networks. Proc. IEEE 84(10): 1421-1429 (1996) - [j21]Gamze Erten, Rodney M. Goodman:
Analog VLSI implementation for stereo correspondence between 2-D images. IEEE Trans. Neural Networks 7(2): 266-277 (1996) - 1995
- [j20]Rodney M. Goodman, B. E. Ambrose:
Stability of Traffic Patterns in Broadband Networks. J. Netw. Syst. Manag. 3(4): 371-380 (1995) - [c17]Rodney M. Goodman, Barry Ambrose, Hayes Latin, C. T. Ulmer:
NOAA: an expert system managing the telephone network. Integrated Network Management 1995: 316-327 - 1994
- [j19]Hayit Greenspan, Rodney M. Goodman, Rama Chellappa, Charles H. Anderson:
Learning Texture Discrimination Rules in a Multiresolution System. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 894-901 (1994) - [j18]Charles M. Higgins, Rodney M. Goodman:
Fuzzy rule-based networks for control. IEEE Trans. Fuzzy Syst. 2(1): 82-88 (1994) - [j17]Zheng Zeng, Rodney M. Goodman, Padhraic Smyth
Discrete recurrent neural networks for grammatical inference. IEEE Trans. Neural Networks 5(2): 320-330 (1994) - [c16]Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona, Subrata Rakshit, Charles H. Anderson:
Overcomplete steerable pyramid filters and rotation invariance. CVPR 1994: 222-228 - [c15]Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona:
Rotation invariant texture recognition using a steerable pyramid. ICPR (2) 1994: 162-167 - 1993
- [j16]Zheng Zeng, Rodney M. Goodman, Padhraic Smyth:
Learning Finite State Machines With Self-Clustering Recurrent Networks. Neural Comput. 5(6): 976-990 (1993) - [j15]Rodney M. Goodman, Robert J. McEliece, Masahiro Sayano:
Phased burst error-correcting array codes. IEEE Trans. Inf. Theory 39(2): 684-693 (1993) - [j14]John W. Miller, Rodney M. Goodman, Padhraic Smyth:
On loss functions which minimize to conditional expected values and posterior proba- bilities. IEEE Trans. Inf. Theory 39(4): 1404-1408 (1993) - [c14]Zheng Zeng, Rodney M. Goodman, Padhraic Smyth:
Self-clustering recurrent networks. ICNN 1993: 33-38 - [c13]Rodney M. Goodman, Barry Ambrose, Hayes Latin, Sandee Finnell:
A Hybrid Expert System/Neural Network Traffic Advice System. Integrated Network Management 1993: 607-616 - 1992
- [j13]Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth:
Rule-Based Neural Networks for Classification and Probability Estimation. Neural Comput. 4(6): 781-804 (1992) - [j12]Padhraic Smyth
An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowl. Data Eng. 4(4): 301-316 (1992) - [c12]Charles M. Higgins, Rodney M. Goodman:
Learning Fuzzy Rule-Based Neural Networks for Control. NIPS 1992: 350-357 - [c11]Hayit Greenspan, Rodney M. Goodman:
Remote Sensing Image Analysis via a Texture Classification Neural Network. NIPS 1992: 425-432 - [c10]John W. Miller, Rodney M. Goodman:
Probability Estimator from a Database Using a Gibbs Energy Model. NIPS 1992: 531-538 - 1991
- [j11]John T. Coffey, Rodney M. Goodman, Patrick Guy Farrell:
New approaches to reduced-complexity decoding. Discret. Appl. Math. 33(1-3): 43-60 (1991) - [j10]Rodney M. Goodman, Masahiro Sayano:
The reliability of semiconductor RAM memories with on-chip error-correction coding. IEEE Trans. Inf. Theory 37(3): 884-896 (1991) - [j9]Andrew W. Moore, John Allman, Rodney M. Goodman:
A real-time neural system for color constancy. IEEE Trans. Neural Networks 2(2): 237-247 (1991) - [j8]Tzi-Dar Chiueh, Rodney M. Goodman:
Recurrent correlation associative memories. IEEE Trans. Neural Networks 2(2): 275-284 (1991) - [c9]Hayit Greenspan, Rodney M. Goodman, Rama Chellappa:
Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. NIPS 1991: 444-451 - [p1]Padhraic Smyth, Rodney M. Goodman:
Rule Induction Using Information Theory. Knowledge Discovery in Databases 1991: 159-176 - 1990
- [j7]Rodney M. Goodman, Padhraic Smyth:
Decision tree design using information theory. Knowl. Acquis. 2(1): 1-19 (1990) - [j6]John T. Coffey, Rodney M. Goodman:
The complexity of information set decoding. IEEE Trans. Inf. Theory 36(5): 1031-1037 (1990) - [j5]John T. Coffey, Rodney M. Goodman:
Any code of which we cannot think is good. IEEE Trans. Inf. Theory 36(6): 1453-1461 (1990) - [c8]Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins:
A Hybrid Rule-Based/Bayesian Classifier. ECAI 1990: 610-615 - [c7]Andrew W. Moore, John Allman, Geoffrey C. Fox, Rodney M. Goodman:
A VLSI Neural Network for Color Constancy. NIPS 1990: 370-376
1980 – 1989
- 1989
- [c6]Rodney M. Goodman, Padhraic Smyth:
The Induction of Probabilistic Rule Sets - The Itrule Algorithm. ML 1989: 129-132 - [c5]Tzi-Dar Chiueh, Rodney M. Goodman:
VLSI Implementation of a High-Capacity Neural Network Associative Memory. NIPS 1989: 793-800 - 1988
- [j4]Tzi-Dar Chiueh, Rodney M. Goodman:
Learning algorithms for neural networks with ternary weights. Neural Networks 1(Supplement-1): 166-167 (1988) - [j3]Mario Blaum, Rodney M. Goodman, Robert J. McEliece:
The Reliability of Single-Error Protected Computer Memories. IEEE Trans. Computers 37(1): 114-119 (1988) - [j2]Thomas E. Fuja, Chris Heegard, Rodney M. Goodman:
Linear Sum Codes for Random Access Memories. IEEE Trans. Computers 37(9): 1030-1042 (1988) - [j1]Rodney M. Goodman, Padhraic Smyth
Decision tree design from a communication theory standpoint. IEEE Trans. Inf. Theory 34(5): 979-994 (1988) - [c4]Rodney M. Goodman, Padhraic Smyth:
Information-Theoretic Rule Induction. ECAI 1988: 357-362 - [c3]Tzi-Dar Chiueh, Rodney M. Goodman:
High-capacity exponential associative memories. ICNN 1988: 153-160 - [c2]Rodney M. Goodman, John W. Miller, Padhraic Smyth:
An Information Theoretic Approach to Rule-Based Connectionist Expert Systems. NIPS 1988: 256-263 - 1987
- [c1]Tzi-Dar Chiueh, Rodney M. Goodman:
A Neural Network Classifier Based on Coding Theory. NIPS 1987: 174-183
Coauthor Index
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