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AUSDM
2007
Springer
104views Data Mining» more  AUSDM 2007»
14 years 13 days ago
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets
This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market....
Chandima Tilakaratne, Musa A. Mammadov, Sidney A. ...
IEEEPACT
2000
IEEE
14 years 25 days ago
The Effect of Code Reordering on Branch Prediction
Branch prediction accuracy is a very important factor for superscalarprocessor performance. The ability topredict the outcome of a branch allows the processor to effectively use a...
Alex Ramírez, Josep-Lluis Larriba-Pey, Mate...
BIBE
2005
IEEE
14 years 2 months ago
Predicting Human Papilloma Virus Prevalence and Vaccine Policy Effectiveness in Demographic Strata
Human Papilloma Virus (HPV) is a sexually transmitted virus, which can lead to cervical cancer. HPV DNA is found in cervical cancers with types 16, 18, 31 and 45 accounting for mo...
Courtney Corley, Armin R. Mikler
IPPS
2008
IEEE
14 years 2 months ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
COGSCI
2010
85views more  COGSCI 2010»
13 years 8 months ago
The Effects of Feature-Label-Order and Their Implications for Symbolic Learning
Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood....
Michael Ramscar, Daniel Yarlett, Melody Dye, Katie...