Rodney M. Goodman

	2003
33		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
32		Vincent F. Koosh, Rodney M. Goodman: Dynamic Charge Restoration of Floating Gate Subthreshold MOS Translinear Circuits. ARVLSI 2001: 163-171
31		Vincent F. Koosh, Rodney M. Goodman: Dynamic charge restoration of floating gate subthreshold MOS translinear circuits. ISCAS (1) 2001: 33-36
30		Vincent F. Koosh, Rodney M. Goodman: VLSI neural network with digital weights and analog multipliers. ISCAS (3) 2001: 233-236
	2000
29		Adam T. Hayes, Alcherio Martinoli, Rodney M. Goodman: Comparing Distributed Exploration Strategies with Simulated and Autonomous Robots. DARS 2000: 261-272
	1997
28		Randall R. Spangler, Rodney M. Goodman, Jim Hawkins: Bach in a Box - Real-Time Harmony. NIPS 1997
	1995
27		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
26		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)
	1993
25		Rodney M. Goodman, Barry Ambrose, Hayes Latin, Sandee Finnell: A Hybrid Expert System/Neural Network Traffic Advice System. Integrated Network Management 1993: 607-616
24		Rodney M. Goodman, Robert J. McEliece, Masahiro Sayano: Phased burst error-correcting array codes. IEEE Transactions on Information Theory 39(2): 684-693 (1993)
23		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): 1404-1408 (1993)
22		Zheng Zeng, Rodney M. Goodman, Padhraic Smyth: Learning Finite State Machines With Self-Clustering Recurrent Networks. Neural Computation 5(6): 976-990 (1993)
	1992
21		Charles M. Higgins, Rodney M. Goodman: Learning Fuzzy Rule-Based Neural Networks for Control. NIPS 1992: 350-357
20		Hayit Greenspan, Rodney M. Goodman: Remote Sensing Image Analysis via a Texture Classification Neural Network. NIPS 1992: 425-432
19		John W. Miller, Rodney M. Goodman: Probability Estimator from a Database Using a Gibbs Energy Model. NIPS 1992: 531-538
18		Padhraic Smyth, Rodney M. Goodman: An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowl. Data Eng. 4(4): 301-316 (1992)
17		Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth: Rule-Based Neural Networks for Classification and Probability Estimation. Neural Computation 4(6): 781-804 (1992)
	1991
16		Hayit 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
14		John 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): 884-896 (1991)
	1990
12		Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins: A Hybrid Rule-Based/Bayesian Classifier. ECAI 1990: 610-615
11		Andrew W. 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): 1453-1461 (1990)
	1989
8		Rodney M. Goodman, Padhraic Smyth: The Induction of Probabilistic Rule Sets - The Itrule Algorithm. ML 1989: 129-132
7		Tzi-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
5		Rodney 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
1		Tzi-Dar Chiueh, Rodney M. Goodman: A Neural Network Classifier Based on Coding Theory. NIPS 1987: 174-183

Coauthor Index

1	John Allman	[11]
2	Barry Ambrose	[25] [27]
3	Charles H. Anderson	[26]
4	Mario Blaum	[4]
5	Rama Chellappa	[16] [26]
6	Tzi-Dar Chiueh	[1] [7]
7	John T. Coffey	[9] [10] [14]
8	Patrick G. Farrell	[14]
9	Sandee Finnell	[25]
10	Geoffrey Fox (Geoffrey Charles Fox)	[11]
11	Thomas E. Fuja	[3]
12	Hayit Greenspan	[16] [20] [26]
13	Jim Hawkins	[28]
14	Adam T. Hayes	[29] [33]
15	Chris Heegard	[3]
16	Charles M. Higgins	[12] [17] [21]
17	Vincent F. Koosh	[30] [31] [32]
18	Hayes Latin	[25] [27]
19	Alcherio Martinoli	[29] [33]
20	Robert J. McEliece	[4] [24]
21	John W. Miller	[5] [17] [19] [23]
22	Andrew W. Moore	[11]
23	Masahiro Sayano	[13] [24]
24	Padhraic Smyth	[2] [5] [6] [8] [12] [15] [17] [18] [22] [23]
25	Randall R. Spangler	[28]
26	C. T. Ulmer	[27]
27	Zheng Zeng	[22]

Colors in the list of coauthors

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