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ICML
2005
IEEE
16 years 5 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
OSDI
2008
ACM
16 years 4 months ago
Probabilistic Inference in Queueing Networks
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
Charles A. Sutton, Michael I. Jordan
COLCOM
2007
IEEE
15 years 10 months ago
Uncompressed HD video for collaborative teaching - an experiment
Abstract—This article describes a distributed classroom experiment carried out by five universities in the US and Europe at the beginning of 2007. This experiment was motivated ...
Andrei Hutanu, Ravi Paruchuri, Daniel Eiland, Milo...
COLCOM
2007
IEEE
15 years 10 months ago
Kademlia for data storage and retrieval in enterprise networks
— Centralized organization of current enterprise networks doesn’t represent an ideal solution in terms of information security and reliability. Denial of service, packet filter...
Natalya Fedotova, Stefano Fanti, Luca Veltri
ICDCN
2009
Springer
15 years 11 months ago
Tracking Dynamics Using Sensor Networks: Some Recurring Themes
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
Krithi Ramamritham