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» Prediction on Spike Data Using Kernel Algorithms
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BMCBI
2004
208views more  BMCBI 2004»
13 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
CODES
2005
IEEE
14 years 2 months ago
Aggregating processor free time for energy reduction
Even after carefully tuning the memory characteristics to the application properties and the processor speed, during the execution of real applications there are times when the pr...
Aviral Shrivastava, Eugene Earlie, Nikil D. Dutt, ...
ISPASS
2010
IEEE
13 years 11 months ago
Understanding transactional memory performance
Abstract—Transactional memory promises to generalize transactional programming to mainstream languages and data structures. The purported benefit of transactions is that they ar...
Donald E. Porter, Emmett Witchel
JSS
2006
78views more  JSS 2006»
13 years 9 months ago
An empirical study of process-related attributes in segmented software cost-estimation relationships
Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the hist...
Juan Jose Cuadrado-Gallego, Miguel-Ángel Si...
SOFTWARE
2011
13 years 4 months ago
A Synergetic Approach to Throughput Computing on x86-Based Multicore Desktops
In the era of multicores, many applications that tend to require substantial compute power and data crunching (aka Throughput Computing Applications) can now be run on desktop PCs...
Chi-Keung Luk, Ryan Newton, William Hasenplaugh, M...