We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
This paper explores the role of data analysis methods to support system-level designers in characterising the performance of embedded applications. In particular, we address the p...
Abstract—We describe and analyze emergent behavior and its effect for a class of preypredators’ simulation models. The simulation uses rule-based agent behavior and follows a p...
Seongdong Kim, Christoph Hoffmann, Varun Ramachand...
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic ef...
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...