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» Algorithms for distributed functional monitoring
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JCB
2002
70views more  JCB 2002»
15 years 14 days ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
CORR
2010
Springer
160views Education» more  CORR 2010»
15 years 27 days ago
New Results on Quantum Property Testing
We present several new examples of speed-ups obtainable by quantum algorithms in the context of property testing. First, motivated by sampling algorithms, we consider probability d...
Sourav Chakraborty, Eldar Fischer, Arie Matsliah, ...
LCTRTS
2001
Springer
15 years 5 months ago
Middleware For Building Adaptive Systems Via Configuration
1 COTS (commercial off-the-shelf) devices are capable of executing powerful, distributed algorithms. Very large, adaptive systems can be created by simply integrating these devices...
Sanjai Narain, Ravichander Vaidyanathan, Stanley M...
74
Voted
DAC
2002
ACM
16 years 1 months ago
A general probabilistic framework for worst case timing analysis
CT The traditional approach to worst-case static-timing analysis is becoming unacceptably conservative due to an ever-increasing number of circuit and process effects. We propose a...
Michael Orshansky, Kurt Keutzer
109
Voted
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 1 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...