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BMCBI
2006
165views more  BMCBI 2006»
13 years 7 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
HPCA
2007
IEEE
14 years 8 months ago
Improving Branch Prediction and Predicated Execution in Out-of-Order Processors
If-conversion is a compiler technique that reduces the misprediction penalties caused by hard-to-predict branches, transforming control dependencies into data dependencies. Althou...
Eduardo Quiñones, Joan-Manuel Parcerisa, An...
ICDCS
2010
IEEE
13 years 11 months ago
Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining
—Wireless Sensor Network (WSN) applications are typically event-driven. While the source codes of these applications may look simple, they are executed with a complicated concurr...
Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchu...
PRESENCE
2007
167views more  PRESENCE 2007»
13 years 7 months ago
TimbreFields: 3D Interactive Sound Models for Real-Time Audio
We describe a methodology for Virtual Reality designers to capture and resynthesize the variations in sound made by objects when we interact with them through contact such as touc...
Richard Corbett, Kees van den Doel, John E. Lloyd,...
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 7 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...