The problem of data semantics is establishing and maintaining the correspondence between a data source and its intended subject matter. We review the long history of the problem in...
paper we present an abstract agent programming language and its operational semantics which can be used to implement cognitive agents. This language consists of programming constr...
We propose a new variable-sized-block method for VLIW code compression. Code compression traditionally works on fixed-sized blocks and its efficiency is limited by the small block...
In previous work, we showed the benefits and feasibility of having a processor dynamically partition its executing software such that critical software kernels are transparently p...
This paper applies machine learning techniques to acquiring aspects of the meaning of discourse markers. Three subtasks of acquiring the meaning of a discourse marker are consider...