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» On the Power of Imperfect Information
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FOCS
2009
IEEE
16 years 1 months ago
Extracting Correlations
Abstract— Motivated by applications in cryptography, we consider a generalization of randomness extraction and the related notion of privacy amplification to the case of two cor...
Yuval Ishai, Eyal Kushilevitz, Rafail Ostrovsky, A...
WMCSA
2008
IEEE
16 years 27 days ago
HealthSense: classification of health-related sensor data through user-assisted machine learning
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
Erich P. Stuntebeck, John S. Davis II, Gregory D. ...
ECAI
2004
Springer
15 years 12 months ago
Emergence of Complex Networks through Local Optimization
Abstract. The emergence of complex network structures of relationships between autonomous agents occurs in a wide range of distributed systems. Many researchers have proposed model...
Josep M. Pujol, Andreas Flache, Ramon Sangües...
ITC
1995
IEEE
102views Hardware» more  ITC 1995»
15 years 10 months ago
Visualizing Quality
Real-world data is known to be imperfect, suffering from various forms of defects such as sensor variability, estimation errors, uncertainty, human errors in data entry, and gaps ...
Solomon Max
BMCBI
2010
132views more  BMCBI 2010»
15 years 6 months ago
New statistical potential for quality assessment of protein models and a survey of energy functions
Background: Scoring functions, such as molecular mechanic forcefields and statistical potentials are fundamentally important tools in protein structure modeling and quality assess...
Dmitry Rykunov, András Fiser