Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web sources to construct definitions for such t...
Most agent-based modeling techniques generate only a single trajectory in each run, greatly undersampling the space of possible trajectories. Swarming agents can explore a great m...
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
We address the classic wire-length estimation problem and propose a new statistical wire-length estimation approach that captures the probability distribution function of net leng...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...
In this paper we present a methodology supporting the definition of data models on basis of a limited set of well-known UML features, thereby allowing these models to be created an...