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» Prediction from Partial Data, Renormalization, and Averaging
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ICAC
2007
IEEE
15 years 1 months ago
Exploiting Platform Heterogeneity for Power Efficient Data Centers
It has recently become clear that power management is of critical importance in modern enterprise computing environments. The traditional drive for higher performance has influenc...
Ripal Nathuji, Canturk Isci, Eugene Gorbatov
74
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SGAI
2005
Springer
15 years 3 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
DCC
2001
IEEE
15 years 9 months ago
LIPT: A Reversible Lossless Text Transform to Improve Compression Performance
Lossless compression researchers have developed highly sophisticated approaches, such as Huffman encoding, arithmetic encoding, the Lempel-Ziv family, Dynamic Markov Compression (D...
Fauzia S. Awan, Nan Zhang 0005, Nitin Motgi, Raja ...
SP
2002
IEEE
128views Security Privacy» more  SP 2002»
14 years 9 months ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...
IJCNN
2006
IEEE
15 years 3 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...