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In recent years around the world, and in particular in Bulgaria, there is a reported increase in the number and intensity of disasters caused by natural phenomena. An increase is observed in the adver...
Studies of past emergency events indicate that evacuating occupants often exhibit social behaviors that affect the evacuationprocess. This paper describes a multiagent-based simulation framework that ...
Supply chain management integrates key business processes and facilities, involving end users and suppliers that provide products, services, and information. Supply chain integration can potentially a...
The benefits of integrating and coordinating supply chain partners have been well recognized in many industries. In the construction industry, supply chain integration is technically challenging due t...
SCANNING DYNAMIC COMPETITIVE LANDSCAPES:A MARKET-BASED AND RESOURCE-BASED FRAMEWORK.
Stochastic simulators such as Monte-Carlo estimators are widely used in science and engineering to study physical systems through their probabilistic representation. Global sensitivity analysis aims t...
A new framework for optimal classifier design     Class Imbalance  One Class SVM  F-measure  Recall  Precision  Fraud Detection  Level Set Method       font style='font-size:12px;'> 2013/6/14
The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems. However, the use of these measures in the classifier design process is still...
In this paper we consider solving \emph{noisy} under-determined systems of linear equations with sparse solutions. A noiseless equivalent attracted enormous attention in recent years, above all, due t...
In this paper, we present a unifying framework which reduces the construction of probabilistic component analysis techniques to a mere selection of the latent neighbourhood via the prior, thus providi...
To distinguish between purely fractionally integrated (FI) processes, we propose in this article an appropriate fractional Dickey-Fuller test (F-DF). This extends the familiar Dickey-Fuller (1979) typ...
Variational Bayes computational methods are attracting increasing in-terest because of their ability to scale to large data sets. Here, application of the non-conjugate variational message passing (N...
Classical analysis of variance requires that model terms be labeled as xed or random and typically culminate by comparing variability from each batch (factor) to variability from errors; without a st...
The article discusses the discovery and management of information. The authors propose an integrated, holistic framework for knowledge management that is composed of interdependent modules meant to pe...
Most recent research on customer relationship management (CRM) has been restricted to developed economies such as the United States. Researchers have done little to study the growth of CRM in developi...
An important stream of research has recently studied sales force control systems (SFCS). Most studies have relied on a simple conceptualization of control, especially outcome-/behavior-based and forma...

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