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CIB
2005
128views more  CIB 2005»
13 years 10 months ago
The Predicting Power of Textual Information on Financial Markets
Abstract-- Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic i...
Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
VR
2003
IEEE
267views Virtual Reality» more  VR 2003»
14 years 4 months ago
An Experiment Comparing Double Exponential Smoothing and Kalman Filter-Based Predictive Tracking Algorithms
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Joseph J. LaViola Jr.
ICPP
2006
IEEE
14 years 4 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
PE
2007
Springer
137views Optimization» more  PE 2007»
13 years 10 months ago
A prediction method for job runtimes on shared processors: Survey, statistical analysis and new avenues
Grid computing is an emerging technology by which huge numbers of processors over the world create a global source of processing power. Their collaboration makes it possible to pe...
Menno Dobber, Robert D. van der Mei, Ger Koole
MICRO
2002
IEEE
117views Hardware» more  MICRO 2002»
13 years 10 months ago
Drowsy instruction caches: leakage power reduction using dynamic voltage scaling and cache sub-bank prediction
On-chip caches represent a sizeable fraction of the total power consumption of microprocessors. Although large caches can significantly improve performance, they have the potentia...
Nam Sung Kim, Krisztián Flautner, David Bla...