2005 |
16 | | Leandro Chaves Rêgo,
Terrence L. Fine:
Estimation of Chaotic Probabilities.
ISIPTA 2005: 297-305 |
15 | EE | Guillermo del Angel,
Terrence L. Fine:
Information capacity and power control for slotted Aloha random-access systems.
IEEE Transactions on Information Theory 51(12): 4074-4090 (2005) |
14 | EE | Chin-Jen Ku,
Terrence L. Fine:
Testing for stochastic independence: application to blind source separation.
IEEE Transactions on Signal Processing 53(5): 1815-1826 (2005) |
2004 |
13 | EE | 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 |
12 | EE | Pablo Ignacio Fierens,
Terrence L. Fine:
Towards a Chaotic Probability Model for Frequentist Probability: The Univariate Case.
ISIPTA 2003: 245-259 |
2001 |
11 | | 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 |
10 | EE | Pablo Fierens,
Terrence Fine:
Towards a Frequentist Interpretation of Sets of Measures.
ISIPTA 2001: 179-187 |
1999 |
9 | | Terrence Fine,
Sayandev Mukherjee:
Parameter Convergence and Learning Curves for Neural Networks.
Neural Computation 11(3): 747-769 (1999) |
1998 |
8 | EE | Jen-Lun Yuan,
Terrence L. Fine:
Neural-network design for small training sets of high dimension.
IEEE Transactions on Neural Networks 9(2): 266-280 (1998) |
1996 |
7 | | Terrence L. Fine:
Review of 'Fundamentals of Artificial Neural Networks' (Hassoun, M.H.; 1995).
IEEE Transactions on Information Theory 42(4): 1322 (1996) |
1994 |
6 | EE | Michael J. Turmon,
Terrence Fine:
Sample Size Requirements for Feedforward Neural Networks.
NIPS 1994: 327-334 |
5 | EE | Sayandev Mukherjee,
Terrence Fine:
Asymptotics of Gradient-based Neural Network Training Algorithms.
NIPS 1994: 335-342 |
1992 |
4 | EE | Jen-Lun Yuan,
Terrence Fine:
Forecasting Demand for Electric Power.
NIPS 1992: 739-746 |
1990 |
3 | EE | Terrence Fine:
Designing Linear Threshold Based Neural Network Pattern Classifiers.
NIPS 1990: 811-817 |
1971 |
2 | | Terrence Fine:
Stochastic Independence and Computational Complexity.
IFIP Congress (1) 1971: 46-51 |
1970 |
1 | | Terrence Fine:
Extrapolation When Very Little is Known about the Source
Information and Control 16(4): 331-359 (1970) |