We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
The problem of reassembling an object from its parts or fragments has never been addressed with a unified computational approach, which depends on the pure geometric form of the pa...
—In this paper, we propose a robust register-transfer level (RTL) power modeling methodology for functional units. Our models are consistently accurate over a wide range of input...
This paper extends previous work on the compilation of higher-order imperative languages into digital circuits [4]. We introduce concurrency, an essential feature in the context o...
The paper describes a conceptual framework for model-driven development based on concise application of UML and modeling tool functionality. A case study of modeling software for l...