Abstract— In this paper we study online gait optimization for modular robots. The learning strategy we apply is distributed, independent on robot morphology, and easy to implemen...
David Johan Christensen, Ulrik Pagh Schultz, Kaspe...
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
To achieve high-performance on multicore systems, sharedmemory parallel languages must efficiently implement atomic operations. The commonly used and studied paradigms for atomici...
We consider scheduling problems in which a job consists of components of different types to be processed on m machines. Each machine is capable of processing components of a singl...
A principle task in parallel and distributed systems is to reduce the communication load in the interconnection network, as this is usually the major bottleneck for the performanc...