Simulation models are built with the intent of studying the behavior of the real system represented by the model. However, a simulation model generates random outputs; thus, the d...
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Abstract— Chip-package thermal analysis is necessary for the design and synthesis of reliable, high-performance, low-power, compact integrated circuits (ICs). Many methods of IC ...
In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Our model aims to identify ...
The accessible specification of performance queries is a key challenge in performance analysis. To this end, we seek to combine the intuitive aspects of natural language query spec...
Lei Wang 0002, Nicholas J. Dingle, William J. Knot...