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ALT
2000
Springer
14 years 7 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
CHI
2007
ACM
14 years 10 months ago
Usability of voting systems: baseline data for paper, punch cards, and lever machines
In the United States, computer-based voting machines are rapidly replacing other older technologies. While there is potential for this to be a usability improvement, particularly ...
Michael D. Byrne, Kristen K. Greene, Sarah P. Ever...
WCE
2007
13 years 11 months ago
On Line Surface Roughness Measurement Using Image Processing and Machine Vision
- Machine vision has evolved to become a mainstream automation tool, enabling computers to replace human vision in high speed and precision manufacturing techniques. Images usually...
M. Rajaram Narayanan, S. Gowri, M. Murali Krishna
JUCS
2002
101views more  JUCS 2002»
13 years 10 months ago
Descriptional Complexity of Machines with Limited Resources
: Over the last 30 years or so many results have appeared on the descriptional complexity of machines with limited resources. Since these results have appeared in a variety of diff...
Jonathan Goldstine, Martin Kappes, Chandra M. R. K...
OSDI
2008
ACM
14 years 10 months ago
Predicting Computer System Failures Using Support Vector Machines
Mitigating the impact of computer failure is possible if accurate failure predictions are provided. Resources, applications, and services can be scheduled around predicted failure...
Errin W. Fulp, Glenn A. Fink, Jereme N. Haack