Modeling requires considerable knowledge of the various stages of the simulation process. The modeler needs to know a great deal of the system to be modeled (domain specific knowl...
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
— In this paper, we propose an efficient model order reduction (MOR) algorithm, called MTermMOR, for modeling interconnect circuits with large number of external ports. The prop...
Pu Liu, Sheldon X.-D. Tan, Bruce McGaughy, Lifeng ...
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...