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CASES
2009
ACM
14 years 1 months ago
Fine-grain performance scaling of soft vector processors
Embedded systems are often implemented on FPGA devices and 25% of the time [2] include a soft processor— a processor built using the FPGA reprogrammable fabric. Because of their...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...
ESWA
2006
122views more  ESWA 2006»
13 years 7 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
IJCNN
2006
IEEE
14 years 1 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine tec
Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although...
Wei Yu, Melinda Clyne, Siobhan M. Dolan, Ajay Yesu...
VIIP
2001
13 years 8 months ago
Using Graphics Cards for Quantized FEM Computations
Graphics cards exercise increasingly more computing power and are highly optimized for high data transfer volumes. In contrast typical workstations perform badly when data exceeds...
Martin Rumpf, Robert Strzodka