Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is dened a...
We are developing an object-oriented real-time database system that includes a relationally complete query language. Unlike conventional query optimizers, our optimizer estimates ...
We describe the modification of a grammar to take advantage of prosodic information provided by a speech recognition system. This initial study is limited to the use of relative d...
Quest is a programming language based on impredicative type quantifiers and subtyping within a three-level structure of kinds, types and type operators, and values. The semantics ...