Terrence L. Fine | Academic Influence

Terrence L. Fine's AcademicInfluence.com Rankings

Terrence L. Fine

Mathematics

#5945

World Rank

#8313

Historical Rank

#1864

USA Rank

Measure Theory

#2773

World Rank

#3311

Historical Rank

#799

USA Rank

mathematics Degrees

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Mathematics

Terrence L. Fine's Degrees

PhD Mathematics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Terrence L. Fine Influential?

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According to Wikipedia, Terrence L. Fine was an American scientist, engineer and philosopher. He is known 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, the Fine numbers and the Fine–McMillan quantizer. He was the recipient of the first patent awarded in the area of statistical delta modulation.

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Terrence L. Fine's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The Emergence of Probability (1976) (1150)
Feedforward Neural Network Methodology (1999) (395)
Theories of Probability: An Examination of Foundations (1973) (248)
Towards a Frequentist Theory of Upper and Lower Probability (1982) (211)
Bayes-like Decision Making With Upper and Lower Probabilities (1982) (78)
Neural-network design for small training sets of high dimension (1998) (78)
Properties of an optimum digital system and applications (1964) (63)
Lower probability models for uncertainty and nondeterministic processes (1988) (59)
Parameter Convergence and Learning Curves for Neural Networks (1998) (48)
A Note on Undominated Lower Probabilities (1986) (43)
Varieties of modal (classificatory) and comparative probability (1979) (43)
Optimum mean-square quantization of a noisy input (Corresp.) (1965) (36)
Optimal power and retransmission control policies for random access systems (2004) (33)
Extrapolation When Very Little is Known about the Source (1970) (33)
The response of a particular nonlinear system with feedback to each of two random processes (1968) (29)
Review: Glenn Shafer, A mathematical theory of evidence (1977) (29)
Probability and Probabilistic Reasoning for Electrical Engineering (2005) (23)
Consistent estimation of system order (1978) (21)
Evaluating the Pasadena, Altadena, and St Petersburg Gambles (2008) (20)
Forecasting Demand for Electric Power (1992) (19)
Stationary lower probabilities and unstable averages (1985) (19)
A Note on the Existence of Quantitative Probability (1971) (19)
Unstable Collectives and Envelopes of Probability Measures (1991) (18)
A frequentist understanding of sets of measures (2009) (18)
Testing for stochastic independence: application to blind source separation (2005) (18)
Continuous Lower Probability-Based Models for Stationary Processes with Bounded and Divergent Time Averages (1987) (18)
On the apparent convergence of relative frequency and its implications (1970) (17)
An Argument for Comparative Probability (1977) (16)
Joint Orders in Comparative Probability (1977) (16)
Finite-Dimensional Distributions and Tail Behavior in Stationary Interval-Valued Probability Models (1994) (15)
Sample Size Requirements for Feedforward Neural Networks (1994) (15)
The Enumeration of Comparative Probability Relations (1976) (15)
On the Hodges and Lehmann Shift Estimator in the Two Sample Problem (1966) (13)
Stationarity and almost sure divergence of time averages in interval-valued probability (1991) (12)
Information capacity and power control for slotted Aloha random-access systems (2005) (8)
A Bayesian Independence Test for Small Datasets (2006) (8)
Towards a Chaotic Probability Model for Frequentist Probability: The Univariate Case (2003) (7)
Adaptive blind equalization using artificial neural networks (1996) (6)
Optimum search for the location of the maximum of a unimodal function (1966) (6)
Feedforward Neural Nets (1999) (6)
Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution (1996) (6)
On the estimation of the mean of a random process (1965) (6)
Towards a revised probabilistic basis for quantum mechanics (1974) (6)
Upper and Lower Probability (1994) (6)
Ensemble pruning algorithms for accelerated training (1996) (5)
Assessing generalization of feedforward neural networks (1995) (5)
Towards a Frequentist Interpretation of Sets of Measures (2001) (5)
Rational decision making with comparative probability (1971) (5)
Estimation of Chaotic Probabilities (2005) (4)
Sensor-assisted ALOHA for wireless networks (1998) (4)
Asymptotics of Gradient-based Neural Network Training Algorithms (1994) (4)
Foundations of Probability (2004) (3)
ISIPTA '01, Proceedings of the Second International Symposium on Imprecise Probabilities and Their Applications, Ithaca, NY, USA (2001) (3)
Extreme-value theory applied to false-alarm probabilities (Corresp.) (1962) (3)
Nonparametric Regression-Based Method for Neural Network Training (1993) (3)
[The Axioms of Subjective Probability]: Comment (1986) (3)
Interpulse Interval Distribution in the Environment of N Periodic Radars (1963) (2)
The “ Only Acceptable Approach ” to Probabilistic Reasoning (2)
Review of 'Fundamentals of Artificial Neural Networks' (Hassoun, M.H.; 1995) (1996) (2)
Stochastic Independence and Computational Complexity (1971) (2)
A new ICA algorithm for blind source separation (2003) (2)
Uniformly reasonable source encoding is often practically impossible (1975) (2)
Computational Complexity, Random Sequences, and Probability (1973) (2)
A Computational Complexity Viewpoint on the Stability of Relative Frequency and on Stochastic Independence (1976) (2)
TWO-PHASE NONPARAMETRIC ICA ALGORITHM FOR BLIND SEPARATION OF INSTANTANEOUS LINEAR MIXTURES (2003) (1)
Interval-valued probability modeling of Internet traffic variables (2000) (1)
Fundamentals of Artificial Neural Networks [Book Reviews] (1996) (1)
On asymmetric error criteria and the prediction of gaussian processes (1964) (1)
Designing Linear Threshold Based Neural Network Pattern Classifiers (1990) (1)
Axiomatic Comparative Probability (1973) (1)
Remarks on the assessment, representation, aggregation and utilization of expert opinion (1980) (1)
Mathematical Alternatives to Standard Probability that Provide Selectable Degrees of Precision (2016) (1)
Relative-Frequency and Probability (1973) (1)
On the nonparametric estimation of shift in the two-sample problem (1965) (0)
Statistical Benchmarks for Neural Network Performance. (1992) (0)
Rational pattern classification when very little is known (1971) (0)
Research on uncertainty for industry functional modeling (1985) (0)
On the asymptotic optimality of coded slotted Aloha random access systems (2002) (0)
PARTIAL DIFFERENTIAL EQUATIONS FOR DENSITIES OF RANDOM PROCESSES (1964) (0)
Probability as a Pragmatic Necessity: Subjective or Personal Probability (1973) (0)
Solving conflicts of known multiplicity (2002) (0)
Foundations of Probability ‐ Historical (2014) (0)
Review of 'An Introduction to Statistical Signal Processing with Application' (Srinath, M.D., and Rajasekaran, P. K.; 1979) (1980) (0)
Foundations of Probability ‐ Further Developments (2014) (0)
Probability, Foundations of—I (2006) (0)
Review of 'Utility Theory for Decision Making' (Fishburn, P. C.; 1970) (1972) (0)
A Bayesian provedure to recognize independent signals (2005) (0)
CONDITIONS FOR OPTIMUM DIGITAL COMMUNICATION WITH APPLICATION TO DELTA MODULATION (1963) (0)
Foundations of Probability–II (2004) (0)
On the expansion of arbitrary ergodic processes into infinite series of orthogonal components (1963) (0)
A Structure for Neural Network Pattern Classifiers (1990) (0)
Classical Probability and Its Renaissance (1973) (0)
Logical (Conditional) Probability (1973) (0)
Upper and Lower Expectations (1989) (0)
Research on uncertainty for industry functional modelling. Final report (1985) (0)
Axiomatic Quantitative Probability (1973) (0)

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