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» Hedging predictions in machine learning
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CONEXT
2010
ACM
14 years 8 months ago
NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems
Traditional DSL troubleshooting solutions are reactive, relying mainly on customers to report problems, and tend to be labor-intensive, time consuming, prone to incorrect resoluti...
Yu Jin, Nick G. Duffield, Alexandre Gerber, Patric...
TOG
2010
117views more  TOG 2010»
14 years 4 months ago
Multi-feature matching of fresco fragments
We present a multiple-feature approach for determining matches between small fragments of archaeological artifacts such as Bronze-Age and Roman frescoes. In contrast with traditio...
Corey Toler-Franklin, Benedict J. Brown, Tim Weyri...
CHI
2011
ACM
14 years 1 months ago
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Little research exists on one of the most common, oldest, and most utilized forms of online social geographic information: the “location” field found in most virtual community...
Brent Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi
BMCBI
2008
170views more  BMCBI 2008»
14 years 10 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
IPPS
2010
IEEE
14 years 8 months ago
On the parallelisation of MCMC by speculative chain execution
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. B...