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TON
2002
112views more  TON 2002»
13 years 7 months ago
Pricing in multiservice loss networks: static pricing, asymptotic optimality, and demand substitution effects
We consider a communication network with fixed routing that can accommodate multiple service classes, differing in bandwidth requirements, demand pattern, call duration, and routin...
Ioannis Ch. Paschalidis, Yong Liu
NECO
2007
150views more  NECO 2007»
13 years 7 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 6 months ago
Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
Fangwen Fu, Mihaela van der Schaar
TSP
2008
167views more  TSP 2008»
13 years 5 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
JSAC
2010
107views more  JSAC 2010»
13 years 5 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