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Book
778views
16 years 8 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
WMCSA
2008
IEEE
15 years 4 months 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. ...
SIGCSE
2009
ACM
193views Education» more  SIGCSE 2009»
15 years 10 months ago
Seattle: a platform for educational cloud computing
Cloud computing is rapidly increasing in popularity. Companies such as RedHat, Microsoft, Amazon, Google, and IBM are increasingly funding cloud computing infrastructure and resea...
Justin Cappos, Ivan Beschastnikh, Arvind Krishnamu...
ISCA
2007
IEEE
196views Hardware» more  ISCA 2007»
15 years 4 months ago
Anton, a special-purpose machine for molecular dynamics simulation
The ability to perform long, accurate molecular dynamics (MD) simulations involving proteins and other biological macromolecules could in principle provide answers to some of the ...
David E. Shaw, Martin M. Deneroff, Ron O. Dror, Je...
BMCBI
2010
151views more  BMCBI 2010»
14 years 10 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou