Sciweavers

625 search results - page 78 / 125
» Approximating Travel Times Using Opportunistic Networking
Sort
View
ICMLA
2010
14 years 12 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
DAC
2006
ACM
15 years 8 months ago
A fast on-chip decoupling capacitance budgeting algorithm using macromodeling and linear programming
We propose a novel and efficient charge-based decoupling capacitance budgeting algorithm. Our method uses the macromodeling technique and effective radius of decoupling capacitan...
Min Zhao, Rajendran Panda, Savithri Sundareswaran,...
QEST
2009
IEEE
15 years 8 months ago
Mean-Field Analysis for the Evaluation of Gossip Protocols
—Gossip protocols are designed to operate in very large, decentralised networks. A node in such a network bases its decision to interact (gossip) with another node on its partial...
Rena Bakhshi, Lucia Cloth, Wan Fokkink, Boudewijn ...
TELSYS
2002
131views more  TELSYS 2002»
15 years 1 months ago
Call Blocking Performance Study for PCS Networks under More Realistic Mobility Assumptions
Abstract. In the micro-cell-based PCS networks, due to the high user mobility, handoffs occur more frequently. Hence, the classical assumptions, such as the exponential assumptions...
Helen Zeng, Yuguang Fang, Imrich Chlamtac
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 9 months ago
Optimal Channel Training in Uplink Network MIMO Systems
We consider a multi-cell frequency-selective fading uplink channel (network MIMO) from K singleantenna user terminals (UTs) to B cooperative base stations (BSs) with M antennas ea...
Jakob Hoydis, Mari Kobayashi, Mérouane Debb...