Search Results - "Helman, Paul"

Probabilistic forecasting of heterogeneous consumer transaction–sales time series by Berry, Lindsay R., Helman, Paul, West, Mike

“…We present new Bayesian methodology for consumer sales forecasting. Focusing on the multi-step-ahead forecasting of daily sales of many supermarket items, we…”
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Protecting data privacy through hard-to-reverse negative databases by Esponda, Fernando, Ackley, Elena S., Helman, Paul, Jia, Haixia, Forrest, Stephanie

“…A set DB of data elements can be represented in terms of its complement set, known as a negative database. That is, all of the elements not in DB are…”
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A formal framework for positive and negative detection schemes by Esponda, F., Forrest, S., Helman, P.

“…In anomaly detection, the normal behavior of a process is characterized by a model, and deviations from the model are called anomalies. In behavior-based…”
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Negative representations of information by Esponda, Fernando, Forrest, Stephanie, Helman, Paul

“…In a negative representation, a set of elements (the positive representation) is depicted by its complement set. That is, the elements in the positive…”
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A hybrid cooperative search algorithm for constrained optimization by Nema, Salam, Goulermas, John Y., Sparrow, Graham, Helman, Paul

“…Many engineering design problems can be formulated as constrained optimization problems which often consist of many mixed equality and inequality constraints…”
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A Bayesian network classification methodology for gene expression data by Helman, Paul, Veroff, Robert, Atlas, Susan R, Willman, Cheryl

“…We present new techniques for the application of a Bayesian network learning framework to the problem of classifying gene expression data. The focus on…”
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Probabilistic forecasting of heterogeneous consumer transaction-sales time series by Berry, Lindsay R, Helman, Paul, West, Mike

“…International Journal of Forecasting, 36:552-569, 2020 We present new Bayesian methodology for consumer sales forecasting. With a focus on multi-step ahead…”
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An alternating optimization approach for mixed discrete non-linear programming by Nema, S., Goulermas, J. Y., Sparrow, G., Cook, P., Helman, P.

“…This article contributes to the development of the field of alternating optimization (AO) and general mixed discrete non-linear programming (MDNLP) by…”
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Statistical foundations of audit trail analysis for the detection of computer misuse by Helman, P., Liepins, G.

“…We model computer transactions as generated by two stationary stochastic processes, the legitimate (normal) process N and the misuse process M. We define…”
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Learning and modeling biosignatures from tissue images by Gilfeather, Frank, Hamine, Vikas, Helman, Paul, Hutt, Julie, Loring, Terry, Rick Lyons, C, Veroff, Robert

“…Abstract Ideally biosignatures can be detected at the early infection phase and used both for developing diagnostic patterns and for prognostic triage. Such…”
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The application of automated reasoning to formal models of combinatorial optimization by Helman, Paul, Veroff, Robert

“…Many formalisms have been proposed over the years to capture combinatorial optimization algorithms such as dynamic programming, branch and bound, and greedy…”
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A Gene Expression Classifier for Improved Risk Classification and Outcome Prediction in Pediatric Acute Lymphoblastic Leukemia (ALL) by Willman, Cheryl L., Kang, Huining, Potter, Jeffrey W., Harvey, Richard C., Atlas, Susan R., Bedrick, Ed, Helman, Paul, Veroff, Robert L., Chen, I.-Ming, Carroll, Andrew J., Ar, Kerem, Xu, Yuexian, Murphy, Sharon B., Bhojwani, Deepa, Moskowitz, Naomi, Carroll, William L., Camitta, Bruce

“…Significant advances in the treatment of pediatric ALL have been achieved through the use of risk classification schemes that target children to increasing…”
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Learning Optimal Augmented Bayes Networks by Hamine, Vikas, Helman, Paul

“…Naive Bayes is a simple Bayesian classifier with strong independence assumptions among the attributes. This classifier, desipte its strong independence…”
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Prioritizing information for the discovery of phenomena by Helman, Paul, Gore, Rebecca

“…We consider the problem of prioritizing a collection of discrete pieces of information, or transactions. The goal is to rank the transactions in such a way…”
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Immunological approach to change detection: algorithms, analysis and implications by D'haeseleer, Patrik, rest, Stephanie, Helman, Paul

“…We present new results on a distributable change-detection method inspired by the natural immune system. A weakness in the original algorithm was the…”
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Designing deductive databases by Helman, Paul, Veroff, Robert

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A family of NP-complete data aggregation problems by HELMAN, P

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A NEW THEORY OF DYNAMIC PROGRAMMING by HELMAN, PAUL

“…We develop a formal model of enumeration problems and define dynamic programming in its setting. Dynamic programming is then proved to be an optimally…”
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A statistically based system for prioritizing information exploration under uncertainty by Helman, P., Bhangoo, J.

“…This paper examines the problem of prioritizing actions under uncertainty. Our motivating applications come from the domain of data mining. Data mining…”
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A decomposition scheme for the analysis of fault trees and other combinatorial circuits by Helman, P., Rosenthal, A.

“…A new decomposition scheme for the analysis of fault trees and other more general combinatorial circuits is presented. The scheme is based on a tabular…”
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