Terrence L. Fine

According to our database, Terrence L. Fine authored at least 29 papers between 1962 and 2006.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2006

A Bayesian Independence Test for Small Datasets.

Chin-Jen Ku, Terrence L. Fine

IEEE Trans. Signal Process., 2006

2005

Testing for stochastic independence: application to blind source separation.

Chin-Jen Ku, Terrence L. Fine

IEEE Trans. Signal Process., 2005

Information capacity and power control for slotted Aloha random-access systems.

Guillermo del Angel, Terrence L. Fine

IEEE Trans. Inf. Theory, 2005

Estimation of Chaotic Probabilities.

Leandro Chaves Rêgo, Terrence L. Fine

Proceedings of the ISIPTA '05, 2005

2004

Optimal power and retransmission control policies for random access systems.

Guillermo del Angel, Terrence L. Fine

IEEE/ACM Trans. Netw., 2004

2003

Towards a Chaotic Probability Model for Frequentist Probability: The Univariate Case.

Pablo Ignacio Fierens, Terrence L. Fine

Proceedings of the ISIPTA '03, 2003

A new ICA algorithm for blind source separation.

Chin-Jen Ku, Terrence L. Fine

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2001

Towards a Frequentist Interpretation of Sets of Measures.

Pablo Ignacio Fierens, Terrence Fine

Proceedings of the ISIPTA '01, 2001

1999

Parameter Convergence and Learning Curves for Neural Networks.

Terrence Fine, Sayandev Mukherjee

Neural Comput., 1999

1998

Neural-network design for small training sets of high dimension.

Jen-Lun Yuan, Terrence L. Fine

IEEE Trans. Neural Networks, 1998

1996

Review of 'Fundamentals of Artificial Neural Networks' (Hassoun, M.H.; 1995).

Terrence L. Fine

IEEE Trans. Inf. Theory, 1996

Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution.

Sayandev Mukherjee, Terrence L. Fine

Neural Comput., 1996

Adaptive blind equalization using artificial neural networks.

Chiu Fai Wong, Terrence L. Fine

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Ensemble pruning algorithms for accelerated training.

Sayandev Mukherjee, Terrence L. Fine

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1994

Sample Size Requirements for Feedforward Neural Networks.

Michael J. Turmon, Terrence Fine

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Asymptotics of Gradient-based Neural Network Training Algorithms.

Sayandev Mukherjee, Terrence Fine

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1992

Forecasting Demand for Electric Power.

Jen-Lun Yuan, Terrence Fine

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1990

Designing Linear Threshold Based Neural Network Pattern Classifiers.

Terrence Fine

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1980

Review of 'An Introduction to Statistical Signal Processing with Application' (Srinath, M.D., and Rajasekaran, P. K.; 1979).

Terrence L. Fine

IEEE Trans. Inf. Theory, 1980

1975

Uniformly reasonable source encoding is often practically impossible.

Terrence L. Fine

IEEE Trans. Inf. Theory, 1975

1972

Review of 'Utility Theory for Decision Making' (Fishburn, P. C.; 1970).

Terrence L. Fine

IEEE Trans. Inf. Theory, 1972

1971

Stochastic Independence and Computational Complexity.

Terrence Fine

Proceedings of the Information Processing, Proceedings of IFIP Congress 1971, Volume 1, 1971

1970

Extrapolation When Very Little is Known about the Source

Terrence Fine

Inf. Control., June, 1970

On the apparent convergence of relative frequency and its implications.

Terrence L. Fine

IEEE Trans. Inf. Theory, 1970

1968

The response of a particular nonlinear system with feedback to each of two random processes.

Terrence L. Fine

IEEE Trans. Inf. Theory, 1968

1966

Optimum search for the location of the maximum of a unimodal function.

Terrence L. Fine

IEEE Trans. Inf. Theory, 1966

1965

Optimum mean-square quantization of a noisy input (Corresp.).

Terrence L. Fine

IEEE Trans. Inf. Theory, 1965

1964

Properties of an optimum digital system and applications.

Terrence L. Fine

IEEE Trans. Inf. Theory, 1964

1962

Extreme-value theory applied to false-alarm probabilities (Corresp.).

Terrence L. Fine, Morris J. Levin

IRE Trans. Inf. Theory, 1962