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Rodney M. Goodman

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2003
31EEAdam 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
30EEVincent F. Koosh, Rodney M. Goodman: Dynamic Charge Restoration of Floating Gate Subthreshold MOS Translinear Circuits. ARVLSI 2001: 163-171
29EEVincent F. Koosh, Rodney M. Goodman: Dynamic charge restoration of floating gate subthreshold MOS translinear circuits. ISCAS (1) 2001: 33-36
28EEVincent F. Koosh, Rodney M. Goodman: VLSI neural network with digital weights and analog multipliers. ISCAS (3) 2001: 233-236
2000
27 Adam T. Hayes, Alcherio Martinoli, Rodney M. Goodman: Comparing Distributed Exploration Strategies with Simulated and Autonomous Robots. DARS 2000: 261-272
1997
26 Randall R. Spangler, Rodney M. Goodman, Jim Hawkins: Bach in a Box - Real-Time Harmony. NIPS 1997
1995
25 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
24EEHayit 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)
1993
23 Rodney M. Goodman, Barry Ambrose, Hayes Latin, Sandee Finnell: A Hybrid Expert System/Neural Network Traffic Advice System. Integrated Network Management 1993: 607-616
22 Rodney M. Goodman, Robert J. McEliece, Masahiro Sayano: Phased burst error-correcting array codes. IEEE Transactions on Information Theory 39(2): 684- (1993)
21 John W. Miller, Rodney M. Goodman, Padhraic Smyth: On loss functions which minimize to conditional expected values and posterior proba- bilities. IEEE Transactions on Information Theory 39(4): 1404- (1993)
1992
20EECharles M. Higgins, Rodney M. Goodman: Learning Fuzzy Rule-Based Neural Networks for Control. NIPS 1992: 350-357
19EEHayit Greenspan, Rodney M. Goodman: Remote Sensing Image Analysis via a Texture Classification Neural Network. NIPS 1992: 425-432
18EEJohn W. Miller, Rodney M. Goodman: Probability Estimator from a Database Using a Gibbs Energy Model. NIPS 1992: 531-538
17EEPadhraic Smyth, Rodney M. Goodman: An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowl. Data Eng. 4(4): 301-316 (1992)
1991
16EEHayit Greenspan, Rodney M. Goodman, Rama Chellappa: Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. NIPS 1991: 444-451
15 Padhraic Smyth, Rodney M. Goodman: Rule Induction Using Information Theory. Knowledge Discovery in Databases 1991: 159-176
14EEJohn T. Coffey, Rodney M. Goodman, Patrick G. Farrell: New approaches to reduced-complexity decoding. Discrete Applied Mathematics 33(1-3): 43-60 (1991)
13 Rodney M. Goodman, Masahiro Sayano: The reliability of semiconductor RAM memories with on-chip error-correction coding. IEEE Transactions on Information Theory 37(3): 884- (1991)
1990
12 Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins: A Hybrid Rule-Based/Bayesian Classifier. ECAI 1990: 610-615
11EEAndrew Moore, John Allman, Geoffrey Fox, Rodney M. Goodman: A VLSI Neural Network for Color Constancy. NIPS 1990: 370-376
10 John T. Coffey, Rodney M. Goodman: The complexity of information set decoding. IEEE Transactions on Information Theory 36(5): 1031-1037 (1990)
9 John T. Coffey, Rodney M. Goodman: Any code of which we cannot think is good. IEEE Transactions on Information Theory 36(6): 1453- (1990)
1989
8 Rodney M. Goodman, Padhraic Smyth: The Induction of Probabilistic Rule Sets - The Itrule Algorithm. ML 1989: 129-132
7EETzi-Dar Chiueh, Rodney M. Goodman: VLSI Implementation of a High-Capacity Neural Network Associative Memory. NIPS 1989: 793-800
1988
6 Rodney M. Goodman, Padhraic Smyth: Information-Theoretic Rule Induction. ECAI 1988: 357-362
5EERodney M. Goodman, John W. Miller, Padhraic Smyth: An Information Theoretic Approach to Rule-Based Connectionist Expert Systems. NIPS 1988: 256-263
4 Mario Blaum, Rodney M. Goodman, Robert J. McEliece: The Reliability of Single-Error Protected Computer Memories. IEEE Trans. Computers 37(1): 114-119 (1988)
3 Thomas E. Fuja, Chris Heegard, Rodney M. Goodman: Linear Sum Codes for Random Access Memories. IEEE Trans. Computers 37(9): 1030-1042 (1988)
2 Rodney M. Goodman, Padhraic Smyth: Decision tree design from a communication theory standpoint. IEEE Transactions on Information Theory 34(5): 979-994 (1988)
1987
1EETzi-Dar Chiueh, Rodney M. Goodman: A Neural Network Classifier Based on Coding Theory. NIPS 1987: 174-183

Coauthor Index

1John Allman [11]
2Barry Ambrose [23] [25]
3Charles H. Anderson [24]
4Mario Blaum [4]
5Rama Chellappa [16] [24]
6Tzi-Dar Chiueh [1] [7]
7John T. Coffey [9] [10] [14]
8Patrick G. Farrell [14]
9Sandee Finnell [23]
10Geoffrey Fox (Geoffrey Charles Fox) [11]
11Thomas E. Fuja [3]
12Hayit Greenspan [16] [19] [24]
13Jim Hawkins [26]
14Adam T. Hayes [27] [31]
15Chris Heegard [3]
16Charles M. Higgins [12] [20]
17Vincent F. Koosh [28] [29] [30]
18Hayes Latin [23] [25]
19Alcherio Martinoli [27] [31]
20Robert J. McEliece [4] [22]
21John W. Miller [5] [18] [21]
22Andrew Moore [11]
23Masahiro Sayano [13] [22]
24Padhraic Smyth [2] [5] [6] [8] [12] [15] [17] [21]
25Randall R. Spangler [26]
26C. T. Ulmer [25]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)