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Lee Jones

Lee Jones
Lee K Jones Professor
  • College
    College of Sciences
  • Department
    Mathematical Science
  • Phone
    (978) 934-2448
  • Email

Expertise

Probability, mathematical statistics, neural networks & pattern recognition

Research Interests

Probability, Mathematical Statistics, Neural Networks and Pattern Recognition

Education

  • Ph D: Mathematics, (1970), Stanford University - CA
  • MS: Mathematics, (1968), Stanford University - CA
  • BS: Physics and Mathematics, (1965), Tufts University - Medford, MA

Selected Publications

  • Srinivas, S., Gartner, N., Jones, L.K., Stamatiadis, C., Xie, Y. (2016). Development of an Optimization-Based Decision Support Model (DSM) for Instrumenting a State Highway System.
  • Kononova, O., Jones, L.K., Barsegov, V. (2015). Order Statistics Inference for Describing Topological Coupling and Mechanical Symmetry Breaking in Multidomain Proteins. arXiv.org, e-Print Arch., Phys., 1-30.
  • Ratkiewicz, A., Pain, S., Cizewski, J., Bardayan, D., Blackmon, J., Chipps, K., Hardy, S., Jones, K., Kozub, R., Lister, C., Mannin, B., Mato, M., Peters, W., Seweryniak, D., Shand, C. (2013). Coupling gammasphere and ORRUBA (1525: pp. 487-491). AIP Conference Proceedings
  • Jones, L.K., Deshpande, R., Gartner, N.H., Stamatiadis, C., Zou, F. (2013). Robust controls for traffic networks: The near-Bayes near-Minimax strategy. Transportation Research Part C: Emerging Technologies, 27 205-218.
  • Einstein, D., Jones, L. (2013). Uniformly generating origin destination tables. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7777 209-216.
  • Kononova, O., Jones, L.K., Barsegov, V. (2013). Order Statistics Inference for Describing Topological Coupling and Mechanical Symmetry Breaking in Multidomain Proteins. Journal of Chemical Physics, 139(12).
  • Jones, L.K. (2012). Remarks on queue inference from departure data alone and the importance of the queue inference engine. Operations Research Letters, 40(6) 503-505.
  • Jones, L.K., Zou, F., Kheifets, A., Rybnikov, K., Berry, D., Tan, A.C. (2011). Confident Predictability: Identifying reliable gene expression patterns for individualized tumor classification using a local minimax kernel algorithm. BMC medical genomics, 4(1) 10.
  • Jones, L.K. (2009). Local minimax learning of functions with best finite sample estimation error bounds: Applications to ridge and lasso regression, boosting, tree learning, kernel machines, and inverse problems. IEEE Transactions on Information Theory, 55(12) 5700-5727.
  • Jones, L.K., Rybnikov, K., Ahlswede, R., Apostolico, A., Levenshtein, V.I. (2006). Local Minimax Learning of Approximately Polynomial Functions.
  • Jones, L.K., O'Neil, P.J. (2002). On Markov chain Monte Carlo algorithms for computing conditional expectations based on sufficient statistics. Journal of Computational and Graphical Statistics, 11(3) 660-677.
  • Jones, L.K. (2000). Local greedy approximation for nonlinear regression and neural network training. Annals of Statistics, 28(5) 1379-1389.
  • Jones, L.K. (1999). Inferring balking behavior from transactional data. Operations research, 47(5) 778-784.
  • Jones, L.K. (1997). The computational intractability of training sigmoidal neural networks. IEEE Transactions on Information Theory, 43(1) 167-173.
  • Holmes, R.B., Jones, L.K. (1996). On uniform generation of two-way tables with fixed margins and the conditional volume test of Diaconis and Efron. Annals of Statistics, 24(1) 64-68.
  • Evans, C., Rees, D., Jones, L.K., Weiss, M. (1996). Periodic signals for measuring nonlinear Volterra kernels. IEEE Transactions on Instrumentation and Measurement, 45(2) 362-371.
  • Jones, L.K. (1994). Good weights and hyperbolic kernels for neural networks, projection pursuit, and pattern classification: Fourier strategies for extracting information from high-dimensional data. IEEE Transactions on Information Theory, 40(2) 439-454.
  • Evans, C., Rees, D., Jones, L.K., Hill, D. (1994). Measurement and identification of gas turbine dynamics in the presence of noise and nonlinearities. Conference Record - IEEE Instrumentation and Measurement Technology Conference, 2 609-614.
  • Evans, C., Rees, D., Jones, L.K. (1994). Nonlinear disturbance errors in system identification using multisine test signals. IEEE Transactions on Instrumentation and Measurement, 43(2) 238-244.
  • Gonzalez-Velasco, E.A., Jones, L.K. (1992). On the range of an unbounded partly atomic vector-valued measure. Pacific Journal of Mathematics, 154(2) 245–251.
  • Jones, L.K. (1990). Constructive approximations for neural networks by sigmoidal functions. Proceedings of the IEEE, 78(10) 1586-1589.
  • Jones, L.K., Trutzer, V. (1990). Erratum: Computationally feasible high-resolution minimum-distance procedures which extend the maximum-entropy method(Inverse Problems (1989) 5 (749-766)). Inverse Problems, 6(5) 873.
  • Jones, L.K., Byrne, C.L. (1990). General entropy criteria for inverse problems, with applications to data compression, pattern classification, and cluster analysis. IEEE Transactions on Information Theory, 36(1) 23-30.
  • Jones, L.K., Trutzer, V. (1990). On extending the orthogonality property of minimum norm solutions in Hilbert space to general methods for linear inverse problems. Inverse Problems, 6(3) 379-388.
  • Flick, T.E., Jones, L.K., Priest, R.G., Herman, C. (1990). Pattern classification using projection pursuit. Pattern Recognition, 23(12) 1367-1376.
  • Jones, L.K., Trutzer, V. (1989). Computationally feasible high-resolution minimum-distance procedures which extend the maximum-entropy method. Inverse Problems, 5(5) 749-766.
  • Jones, L.K. (1988). Stochastic multisample extension of Morris's robust detector in bounded amplitude noise. IEEE Transactions on Information Theory, 34(5 pt 1) 973-978.
  • Flick, T.E., Jones, L.K. (1986). COMBINATORIAL APPROACH FOR CLASSIFICATION OF PATTERNS WITH MISSING INFORMATION AND RANDOM ORIENTATION. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-8(4) 482-490.
  • Jones, L.K. (1984). On finding non-randomized minimax tests for statistical decision problems with applications to signal detection. Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete, 67(1) 109-120.
  • Fishman, P.M., Jones, L.K. (1984). SIGNAL CONVEXITY AND NOISE CONVEXITY OF CHERNOFF AND DIVERGENCE DISTANCES. IEEE Transactions on Information Theory, IT-30(6) 854-856.
  • Fishman, P.M., Jones, L.K., Therrien, C.W. (1983). DESIGN OF MASKING PROCESSES BY THE METHOD OF MINIMAL DIVERGENCE. IEEE Transactions on Information Theory, IT-30(2) 245-255.
  • Jones, L.K. (1980). ASYMPTOTICALLY OPTIMAL DETECTOR OF MEMORY p FOR k-DEPENDENT RANDOM SIGNALS. IEEE Transactions on Information Theory, IT-26(4) 491-492.
  • Jones, L.K., Lin, M. (1980). Unimodular eigenvalues and weak mixing. Journal of Functional Analysis, 35(1) 42-48.
  • Jones, L.K. (1976). Sur une loi de probabilite conditionelle de kleitman. Discrete Mathematics, 15(1) 107-108.
  • Jones, L.K., Krengel, U. (1974). On transformations without finite invariant measure. Advances in Mathematics, 12(3) 275-295.
  • Jones, L.K. (1973). A generalization of the mean ergodic theorem in banach spaces. Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete, 27(2) 105-107.
  • Jones, L.K. (1972). A short proof of Sucheston's characterization of mixing. Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete, 23(2) 83-84.
  • Jones, L.K. (1972). An elementary lemma on sequences of integers and its applications to functional analysis. Mathematische Zeitschrift, 126(4) 299-307.
  • Jones, L.K. (1971). A mean ergodic theorem for weakly mixing operators. Advances in Mathematics, 7(3) 211-216.

Selected Contracts, Fellowships, Grants and Sponsored Research

  • New England University Transportation Center Research Project (2012), Contract - U.S. DEPARTMENT OF TRANSPORTATION
    Jones, L.K. (Co-Principal)