BACKGROUND Individuals at high risk to develop alcoholism often manifest neurocognitive deficits as well as increased impulsivity. Event-related oscillations (EROs) have been used to effectively measure brain (dys)function during cognitive tasks in individuals with alcoholism and related disorders and in those at risk to develop these disorders. The current study examines ERO theta power during...

Wireless Sensor Network (WSN) applications, there may be many low-powered sensor nodes which can communicate with each other by wireless techniques. Due to limited power supply, the satisfiability of performability properties, which include energy constraints especially, must be confirmed in design phase. This will help one to avoid implementing impracticable designs. A typical performability p...

Sequential decision problems can often be modeled as Markov decision processes. Classical solution approaches assume that the parameters of the model are known. However, model parameters are usually estimated and uncertain in practice. As a result, managers are often interested in how estimation errors affect the optimal solution. In this paper we illustrate how sensitivity analysis can be perf...

Accumulated evidence from animal studies implicates the ventral striatum in the processing of reward information. Recently, deep brain stimulation (DBS) surgery has enabled researchers to analyze neurophysiological recordings from humans engaged in reward tasks. We present data recorded from the human ventral striatum during deep brain stimulation surgery as a participant played a video game co...

Institutional investors and investment managers seek to better characterize the credit risk of online consumer loans. This article describes how to prepare the data and build a credit risk model that can be used for a number of applications including generating alpha, issuing protection and securitizing loans into bonds with the desired risk/reward profile. A simple example is used to provide i...

In this paper, we present the Procedural Game Adaptation (PGA) framework, a designer-controlled way to change a game’s dynamics during end-user play. We formalize a video game as a Markov Decision Process, and frame the problem as maximizing the reward of a given player by modifying the game’s transition function. By learning a model of each player to estimate her rewards, PGA managers can chan...

background organizational entrepreneurship focuses on proactive actions, which may lead to the new productions, new services and/or new processes. implementation of organizational entrepreneurship plans has many benefits including organizational cost reduction and the increase of organizational capital assets. objectives this study aimed to investigate the organizational entrepreneurship status...

This paper presents an empirical study on the contribution made by middle managers to the development of strategy in an organisation. The data was collected using semi-structured interviews with middle-managers and top-managers in companies large enough to have the middle management layer in the organisational hierarchy. The data was analysed using a qualitative approach. Previous studies in th...

Models for the prediction of user judgments from interaction data can be used in different contexts such as system quality assessment, monitoring of deployed systems, or as a reward function in learned dialog managers. Such models still show a considerable lack with respect to their generalizability [6]. This paper specifically addresses this issue. We propose to use a Mixture of Experts approa...

Statistical dialogue systems are motivated by the need for a data-driven framework that reduces the cost of laboriously hand-crafting complex dialogue managers and that provides robustness against the errors created by speech recognisers operating in noisy environments. By including an explicit Bayesian model of uncertainty and by optimising the policy via a reward-driven process, partially obs...