Predicting human behavior from a small amount of training examples is a challenging machine learning problem. In this thesis, we introduce the principle of maximum causal entropy, a general technique for applying information theory to decision-theoretic, game-theoretic, and control settings...

Since the Morris worm was released in 1988, Internet worms continue to be one of top security threats. For example, the Conficker worm infected 9 to 15 million machines in early 2009 and shut down the service of some critical government and medical networks. Moreover, it constructed a massive...

Traditional electrical grid as the largest and most complex industry in the world is currently under fundamental development. According to the IEEE Std1547.4, large distribution systems can be clustered into a number of micro-grids (MGs) to facilitate the control and operation infrastructure in...

The energy system studies include a wide range of issues from short term (e.g. real-time, hourly, daily and weekly operating decisions) to long term horizons (e.g. planning or policy making). The decision making chain is fed by input parameters which are usually subject to uncertainties. The art...

The performance of in vitro fertilization-embryo transfer (IVF-ET) programs is summarized typically as the average probability of achieving pregnancy per cycle. Variation in conception probabilities across women reduces the usefulness of such an aggregate measure. More relevant is the...

Wind tunnel test measurements to characterize the static lift and drag coefficients of airfoils used in wind turbine blades are shown to possess large uncertainties, which leads to uncertainties in the aerodynamic loads on the rotor. In this paper a rational stochastic model is proposed to...

Purpose – The purpose of this paper is to propose a conceptualization of supply chain vs supply chain competition using the ecological niche approach. It suggests a probabilistic methodology for evaluating competition from time series data, using overlap in the utilization of services provided...

Purpose – This paper seeks to describe a new approach to analyzing critical resource investment plans, Dynamic Decision Making (DDM), an A.T. Kearney innovation based on a sophisticated modeling process that can improve the quality and transparency of decision making....