We describe an incremental parser that was trained to minimize cost over sentences rather than over individual parsing actions. This is an attempt to use the advantages of the two...
Considering the difficulties inherent in the manual construction of natural language parsers, we have designed and implemented our system GRIND which is capable of learning a sequ...
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
A prototype Basic LOTOS interpreter, augmented for modelling real-time systems, is described. Primitive actions are treated as time-consuming, with separate start and end points, ...
l examination of the underlying assumptions, abstractions, and possible actions. Consequently, assuring that a system behaves securely is virtually impossible without the use of ri...