This paper proposes optimizations of the methods and parameters used in both mathematical approximation and hardware design for logarithmic number system (LNS) arithmetic. First, ...
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
A novel aproach to active surge control is presented for a centrifugal compressor driven by an electrical motor. The main idea of the paper is to use the drive itself for surge co...
Jan Tommy Gravdahl, Olav Egeland, Svein Ove Vatlan...
Many object-oriented methods have assumed classbased approaches, without considering prototype-based ones. Some authors, while admitting prototypes as a useful concept, only envis...
Birgitte Krogh, Sean Levy, Allen H. Dutoit, Eswara...