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TNN
1998
146views more  TNN 1998»
15 years 3 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
JSAC
2010
107views more  JSAC 2010»
15 years 2 months ago
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
Hsien-Po Shiang, Mihaela van der Schaar
IEEEPACT
2008
IEEE
15 years 10 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 11 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
EUROPAR
2007
Springer
15 years 10 months ago
Esodyp+: Prefetching in the Jackal Software DSM
Abstract. Prefetching transfers a data item in advance from its storage location to its usage location so that communication is hidden and does not delay computation. We present a ...
Michael Klemm, Jean Christophe Beyler, Ronny T. La...