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HPCA
2001
IEEE
14 years 11 months ago
Dynamic Branch Prediction with Perceptrons
This paper presents a new method for branch prediction. The key idea is to use one of the simplest possible neural networks, the perceptron as an alternative to the commonly used ...
Daniel A. Jiménez, Calvin Lin
OSDI
2008
ACM
14 years 11 months ago
A Comparison of High-Level Full-System Power Models
Dynamic power management in enterprise environments requires an understanding of the relationship between resource utilization and system-level power consumption. Power models bas...
Suzanne Rivoire, Parthasarathy Ranganathan, Christ...
APGV
2010
ACM
328views Visualization» more  APGV 2010»
14 years 23 days ago
Can I pass?: using affordances to measure perceived size in virtual environments
Perception of an accurate sense of the scale depicted in computer graphics is important for many applications. How to best characterize the accuracy of space perception in compute...
Michael Geuss, Jeanine Stefanucci, Sarah H. Creem-...
PRL
2007
138views more  PRL 2007»
13 years 10 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...