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EVOW
2008
Springer
15 years 8 months ago
Architecture Performance Prediction Using Evolutionary Artificial Neural Networks
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
Pedro A. Castillo, Antonio Miguel Mora, Juan Juli&...
ICASSP
2008
IEEE
16 years 28 days ago
Decentralized set-membership adaptive estimation for clustered sensor networks
This paper proposes a clustering approach to parameter estimation in distributed sensor networks. The proposed approach is an alternative to the conventional centralized and decen...
Stefan Werner, Mobien Mohammed, Yih-Fang Huang, Vi...
COLT
2000
Springer
15 years 10 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
ICASSP
2010
IEEE
15 years 1 months ago
Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity
We propose a compressive estimator of doubly selective channels within pulse-shaping multicarrier MIMO systems (including MIMOOFDM as a special case). The use of multichannel comp...
Daniel Eiwen, Georg Tauböck, Franz Hlawatsch,...
ICASSP
2011
IEEE
14 years 10 months ago
A multiwindow time-frequency approach based on the concepts of robust estimate theory
An approach to multiwindow time-frequency analysis that provides robust performance in noisy environment is proposed. The concept of robust estimates of instantaneous frequency is...
Irena Orovic, Nikola Zaric, Srdjan Stankovic, Moen...