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» Prediction on Spike Data Using Kernel Algorithms
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POPL
2011
ACM
13 years 15 hour ago
Making prophecies with decision predicates
We describe a new algorithm for proving temporal properties expressed in LTL of infinite-state programs. Our approach takes advantage of the fact that LTL properties can often be...
Byron Cook, Eric Koskinen
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
14 years 9 months ago
Query processing techniques for solid state drives
Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
SIGKDD
2010
259views more  SIGKDD 2010»
13 years 3 months ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
ICCS
2003
Springer
14 years 2 months ago
Self-Adapting Numerical Software and Automatic Tuning of Heuristics
Self-Adapting Numerical Software (SANS) systems aim to bridge the knowledge gap that exists between the expertise of domain scientists, and the know-how that is needed to fulfill...
Jack Dongarra, Victor Eijkhout
ENC
2006
IEEE
14 years 26 days ago
Adaptive Node Refinement Collocation Method for Partial Differential Equations
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
José Antonio Muñoz-Gómez, Ped...