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» Exploiting nonstationarity for performance prediction
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EUROSYS
2007
ACM
14 years 2 months ago
Exploiting nonstationarity for performance prediction
Real production applications ranging from enterprise applications to large e-commerce sites share a crucial but seldom-noted characteristic: The relative frequencies of transactio...
Christopher Stewart, Terence Kelly, Alex Zhang
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 13 days ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
ESANN
2007
13 years 6 months ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville
IPPS
2007
IEEE
13 years 11 months ago
Load Miss Prediction - Exploiting Power Performance Trade-offs
— Modern CPUs operate at GHz frequencies, but the latencies of memory accesses are still relatively large, in the order of hundreds of cycles. Deeper cache hierarchies with large...
Konrad Malkowski, Greg M. Link, Padma Raghavan, Ma...
ICA
2004
Springer
13 years 10 months ago
Real-Time Convolutive Blind Source Separation Based on a Broadband Approach
Abstract. In this paper we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures. A recently introduced m...
Robert Aichner, Herbert Buchner, Fei Yan, Walter K...