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» Machine-Learning Applications of Algorithmic Randomness
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IACR
2011
136views more  IACR 2011»
12 years 7 months ago
Trapdoors for Lattices: Simpler, Tighter, Faster, Smaller
We give new methods for generating and using “strong trapdoors” in cryptographic lattices, which are simultaneously simple, efficient, easy to implement (even in parallel), a...
Daniele Micciancio, Chris Peikert
ICPP
2006
IEEE
14 years 2 months ago
Parallel Information Extraction on Shared Memory Multi-processor System
Text Mining is one of the best solutions for today and the future’s information explosion. With the development of modern processor technologies, it will be a mass market deskto...
Jiulong Shan, Yurong Chen, Qian Diao, Yimin Zhang
HIPC
2005
Springer
14 years 1 months ago
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices
Several challenging new applications demand the ability to do data mining on resource constrained devices. One such application is that of monitoring physiological data streams ob...
Haimonti Dutta, Hillol Kargupta, Anupam Joshi
MJ
2007
87views more  MJ 2007»
13 years 7 months ago
Using SAT-based techniques in power estimation
Recent algorithmic advances in Boolean satisfiability (SAT), along with highly efficient solver implementations, have enabled the successful deployment of SAT technology in a wi...
Assim Sagahyroon, Fadi A. Aloul
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
13 years 6 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo