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NN
2010
Springer
187views Neural Networks» more  NN 2010»
14 years 4 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
ICASSP
2011
IEEE
14 years 1 months ago
Compressed classification of observation sets with linear subspace embeddings
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
Dorina Thanou, Pascal Frossard
ICASSP
2011
IEEE
14 years 1 months ago
Coordinated user scheduling in the multi-cell MIMO downlink
We propose a novel, coordinated user scheduling (CUS) algorithm for inter-cell interference (ICI) mitigation in the downlink of a multi-cell multi-user MIMO system. In the propose...
Nima Seifi, Michail Matthaiou, Mats Viberg
ICASSP
2011
IEEE
14 years 1 months ago
Downlink multicell cooperative transmission with imperfect CSI sharing
This paper studies downlink multicell cooperative transmission with imperfect CSI sharing led by backhaul latency, assuming full data sharing amongst coordinated base stations (BS...
Shengqian Han, Chenyang Yang
TON
2012
13 years 13 days ago
A Joint Approach to Routing Metrics and Rate Adaptation in Wireless Mesh Networks
—This work proposes MARA, a joint method for automatic rate selection and route quality evaluation in Wireless Mesh Networks. This method targets at avoiding the problem of inacc...
Diego G. Passos, Célio V. N. Albuquerque