We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
Parallel workstations, each comprising 10-100 processors, promise cost-effective general-purpose multiprocessing. This paper explores the coupling of such small- to medium-scale s...
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
METU INteroperable DBMS (MIND) is a multidatabase system based on OMG's distributed object management architecture. It is implemented on top of a CORBA compliant ORB, namely,...
Recent progress in worst case timing analysis of programs has made it possible to perform accurate timing analysis of pipelined execution and instruction caching, which is necessa...