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TSP
2008
151views more  TSP 2008»
13 years 7 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
ICANN
2009
Springer
14 years 3 days ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
ICPPW
2000
IEEE
13 years 12 months ago
Reducing Web Latency with Hierarchical Cache-Based Prefetching
Proxy caches have become a central mechanism for reducing the latency of web document retrieval. While caching alone reduces latency for previously requested documents, web docume...
Dan Foygel, Dennis Strelow
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
13 years 8 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
JSAC
2006
170views more  JSAC 2006»
13 years 7 months ago
Cross-Layer design in HSDPA system to reduce the TCP effect
This paper focuses on the interaction between the Transport Control Protocol (TCP) layer and the radio interface in the High Speed Downlink Packet Access (HSDPA) wireless system. I...
Mohamad Assaad, Djamal Zeghlache