An Elementary Derivation of the Numerical Integration Bounds in Beginning Calculus von Jones, Lee K.

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Statistical Learning from Single-Molecule Experiments: Support Vector Machines and Expectation–Maximization Approaches to Understanding Protein Unfolding Data von Maksudov, Farkhad, Jones, Lee K, Barsegov, Valeri

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A Simple Lemma on Greedy Approximation in Hilbert Space and Convergence Rates for Projection Pursuit Regression and Neural Network Training von Jones, Lee K.

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Modeling origin-destination uncertainty using network sensor and survey data and new approaches to robust control von Jones, Lee K., Gartner, Nathan H., Shubov, Mikhail, Stamatiadis, Chronis, Einstein, David

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Confident predictability: identifying reliable gene expression patterns for individualized tumor classification using a local minimax kernel algorithm von Jones, Lee K, Zou, Fei, Kheifets, Alexander, Rybnikov, Konstantin, Berry, Damon, Tan, Aik Choon

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Remarks on queue inference from departure data alone and the importance of the queue inference engine von Jones, Lee K.

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Local Minimax Learning of Functions With Best Finite Sample Estimation Error Bounds: Applications to Ridge and Lasso Regression, Boosting, Tree Learning, Kernel Machines, and Inver... von Jones, L.K.

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Robust controls for traffic networks: The near-Bayes near-Minimax strategy von Jones, Lee K., Deshpande, Rahul, Gartner, Nathan H., Stamatiadis, Chronis, Zou, Fei

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Modeling Origin-Destination Uncertainty Using Network Sensor and Survey Data and New Approaches to Robust Control von Jones, Lee K., Gartner, Nathan H., Shubov, Michael, Stamatiadis, Chronis, Einstein, David

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Inferring Balking Behavior From Transactional Data von Jones, Lee K

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The computational intractability of training sigmoidal neural networks von Jones, L.K.

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On a Conjecture of Huber Concerning the Convergence of Projection Pursuit Regression von Jones, Lee K.

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Good weights and hyperbolic kernels for neural networks, projection pursuit, and pattern classification: Fourier strategies for extracting information from high-dimensional data von Jones, L.K.

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Approximation-Theoretic Derivation of Logarithmic Entropy Principles for Inverse Problems and Unique Extension of the Maximum Entropy Method to Incorporate Prior Knowledge von Jones, Lee K.

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Uniformly Generating Origin Destination Tables von Einstein, David M., Jones, Lee K.

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Constructive approximations for neural networks by sigmoidal functions von Jones, L.K.

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Efficient Computation of Probabilities of Events Described by Order Statistics and Applications to Queue Inference von Jones, Lee K, Larson, Richard C

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On the range of an unbounded partly atomic vector-valued measure von Gonzalez-Velasco, Enrique, Jones, Lee

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Information Theory, Combinatorics, and Search Theory: In Memory of Rudolf Ahlswede von Aydinian, Harout, Cicalese, Ferdinando, Deppe, Christian

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A Combinatorial Approach for Classification of Patterns with Missing Information and Random Orientation von Flick, Thomas E., Lee Jones, K.

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