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ORCIDTerrence L. Fine
Person information
- affiliation: Cornell University, Ithaca, NY, USA
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2000 – 2009
- 2006
[j18]Chin-Jen Ku, Terrence L. Fine:
A Bayesian Independence Test for Small Datasets. IEEE Trans. Signal Process. 54(10): 4026-4031 (2006)- 2005
- [j17]Guillermo del Angel, Terrence L. Fine:
Information capacity and power control for slotted Aloha random-access systems. IEEE Trans. Inf. Theory 51(12): 4074-4090 (2005) - [j16]Chin-Jen Ku, Terrence L. Fine:
Testing for stochastic independence: application to blind source separation. IEEE Trans. Signal Process. 53(5): 1815-1826 (2005) - [c11]Leandro Chaves Rêgo, Terrence L. Fine:
Estimation of Chaotic Probabilities. ISIPTA 2005: 297-305 - 2004
- [j15]Guillermo del Angel, Terrence L. Fine:
Optimal power and retransmission control policies for random access systems. IEEE/ACM Trans. Netw. 12(6): 1156-1166 (2004) - 2003
- [c10]Chin-Jen Ku, Terrence L. Fine:
A new ICA algorithm for blind source separation. ICASSP (5) 2003: 33-36 - [c9]Pablo Ignacio Fierens, Terrence L. Fine:
Towards a Chaotic Probability Model for Frequentist Probability: The Univariate Case. ISIPTA 2003: 245-259 - 2001
- [c8]Pablo Ignacio Fierens, Terrence Fine:
Towards a Frequentist Interpretation of Sets of Measures. ISIPTA 2001: 179-187 - [e1]Gert De Cooman, Terrence Fine, Teddy Seidenfeld:
ISIPTA '01, Proceedings of the Second International Symposium on Imprecise Probabilities and Their Applications, Ithaca, NY, USA. Shaker 2001, ISBN 90-423-0130-9 [contents]
1990 – 1999
- 1999
- [j14]Terrence Fine, Sayandev Mukherjee:
Parameter Convergence and Learning Curves for Neural Networks. Neural Comput. 11(3): 747-769 (1999) - 1998
- [j13]Jen-Lun Yuan, Terrence L. Fine:
Neural-network design for small training sets of high dimension. IEEE Trans. Neural Networks 9(2): 266-280 (1998) - 1996
- [j12]Sayandev Mukherjee, Terrence L. Fine:
Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution. Neural Comput. 8(5): 1075-1084 (1996) - [j11]Terrence L. Fine:
Review of 'Fundamentals of Artificial Neural Networks' (Hassoun, M.H.; 1995). IEEE Trans. Inf. Theory 42(4): 1322 (1996) - [c7]Sayandev Mukherjee, Terrence L. Fine:
Ensemble pruning algorithms for accelerated training. ICNN 1996: 96-101 - [c6]Chiu Fai Wong, Terrence L. Fine:
Adaptive blind equalization using artificial neural networks. ICNN 1996: 1974-1979 - 1994
- [c5]Michael J. Turmon, Terrence Fine:
Sample Size Requirements for Feedforward Neural Networks. NIPS 1994: 327-334 - [c4]Sayandev Mukherjee, Terrence Fine:
Asymptotics of Gradient-based Neural Network Training Algorithms. NIPS 1994: 335-342 - 1992
- [c3]Jen-Lun Yuan, Terrence Fine:
Forecasting Demand for Electric Power. NIPS 1992: 739-746 - 1990
- [c2]Terrence Fine:
Designing Linear Threshold Based Neural Network Pattern Classifiers. NIPS 1990: 811-817
1980 – 1989
- 1980
- [j10]Terrence L. Fine:
Review of 'An Introduction to Statistical Signal Processing with Application' (Srinath, M.D., and Rajasekaran, P. K.; 1979). IEEE Trans. Inf. Theory 26(5): 629 (1980)
1970 – 1979
- 1975
- [j9]Terrence L. Fine:
Uniformly reasonable source encoding is often practically impossible. IEEE Trans. Inf. Theory 21(4): 368-373 (1975) - 1972
- [j8]Terrence L. Fine:
Review of 'Utility Theory for Decision Making' (Fishburn, P. C.; 1970). IEEE Trans. Inf. Theory 18(5): 696-697 (1972) - 1971
- [c1]Terrence Fine:
Stochastic Independence and Computational Complexity. IFIP Congress (1) 1971: 46-51 - 1970
- [j7]Terrence Fine:
Extrapolation When Very Little is Known about the Source. Inf. Control. 16(4): 331-359 (1970) - [j6]Terrence L. Fine:
On the apparent convergence of relative frequency and its implications. IEEE Trans. Inf. Theory 16(3): 251-257 (1970)
1960 – 1969
- 1968
- [j5]Terrence L. Fine:
The response of a particular nonlinear system with feedback to each of two random processes. IEEE Trans. Inf. Theory 14(2): 255-264 (1968) - 1966
- [j4]Terrence L. Fine:
Optimum search for the location of the maximum of a unimodal function. IEEE Trans. Inf. Theory 12(2): 103-111 (1966) - 1965
- [j3]Terrence L. Fine:
Optimum mean-square quantization of a noisy input (Corresp.). IEEE Trans. Inf. Theory 11(2): 293-294 (1965) - 1964
- [j2]Terrence L. Fine:
Properties of an optimum digital system and applications. IEEE Trans. Inf. Theory 10(4): 287-296 (1964) - 1962
- [j1]Terrence L. Fine, Morris J. Levin:
Extreme-value theory applied to false-alarm probabilities (Corresp.). IRE Trans. Inf. Theory 8(3): 259-260 (1962)
Coauthor Index
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