Terrence L. Fine

Terrence L. Fine is a scientist, engineer and philosopher. He is known^[1][2][3] especially for his contributions to the defense and development of alternatives to the classical calculus for probabilistic modeling and decision-making. Other contributions include Fine's theorem,^[4] the Fine numbers^[5] and the Fine–McMillan quantizer.^[6] He is the recipient of the first patent awarded in the area of statistical delta modulation.^[7]

Biography

Fine was born in New York City in 1939. His academic degrees are from City College of New York (B.E.E.) and from Harvard University (S.M., Ph.D.). He was awarded a Miller Research Fellowship at the University of California Berkeley for the period 1964-1966, after which he joined the faculty of Cornell University in Ithaca, New York, where he remained until his retirement in 2010. There he served as Professor in the Department of Electrical and Computer Engineering; concurrently, as Professor in the Department of Statistical Sciences; and from 1999 to 2004, as Director of the university's multidisciplinary Center for Applied Mathematics. He is a Professor Emeritus at Cornell. He is a Life Fellow and Third Millenium Medalist of the IEEE (Institute of Electrical and Electronics Engineers).^[8]

Selected publications

• Theories of Probability: An Examination of Foundations, Academic Press, 1973. A study of mathematical and interpretive alternatives to the standard framework for mathematical probability.
• Feedforward Neural Network Methodology, Series on Statistics for Engineering and Information Science, Springer-Verlag, 1999.
• Probability and Probabilistic Reasoning for Electrical Engineering, Pearson/Prentice-Hall, 2006.
• "An argument for comparative probability", in R. Butts, J. Hintikka, eds., Basic Problems in Methodology and Linguistics III, Univ. Western Ontario Ser. Philosophy of Science, 11, D. Reidel, Dordrecht, 105–119, 1977.
• "On the apparent convergence of relative frequency and its implications", IEEE Transactions on Information Theory, IT-16, 251–257, 1970. Source of Fine's Theorem.
• "Extrapolation when very little is known about the source", Information and Control, 16, 331–359, 1970. A non-statistical approach to extrapolation, and source of the Fine numbers.

References

1. Henry E. Kyburg, Jr; Choh Man Teng (6 August 2001). Uncertain Inference. Cambridge University Press. pp. 113–114. ISBN 978-0-521-00101-4. Retrieved 2013-11-12.
2. Patrick Suppes; Paul Humphreys (1 January 1994). Patrick Suppes: Scientific Philosopher: Volume 1. Probability and Probabilistic Causality. Springer. p. 132. ISBN 978-0-7923-2552-9. Retrieved 2013-11-12.
3. "Fellows - F". IEEE: Membership & Services. IEEE. Retrieved 2013-11-12.
4. Ming Li (1997). An Introduction to Kolmogorov Complexity and Its Applications. Springer. p. 135. ISBN 978-0-387-94868-3. Retrieved 2013-11-12.
5. Deutsch, E. and Shapiro, L., "A survey of the Fine numbers", Discrete Mathematics, 241, 241–265, 2001.
6. G. Gabor; Z. Györfi (1986). Recursive source coding: a theory for the practice of waveform coding. Springer-Verlag. ISBN 978-0-387-96309-9. Retrieved 2013-11-12.
7. US3393364-A, Fine, Terrence L., "Statistical delta modulation system", published 1968-07-16 
8. https://web.archive.org/web/20120822071415/http://www.ece.cornell.edu/fine/. Archived from the original on August 22, 2012. Retrieved August 13, 2012. Missing or empty |title= (help)