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NECO
2006
157views more  NECO 2006»
14 years 11 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
SIGMETRICS
2008
ACM
109views Hardware» more  SIGMETRICS 2008»
14 years 11 months ago
Automatic request categorization in internet services
Modeling system performance and workload characteristics has become essential for efficiently provisioning Internet services and for accurately predicting future resource requirem...
Abhishek Sharma, Ranjita Bhagwan, Monojit Choudhur...
93
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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 10 months ago
Modeling and decision making in spatio-temporal processes for environmental surveillance
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
PROCEDIA
2010
140views more  PROCEDIA 2010»
14 years 10 months ago
Jaccard Index based availability prediction in enterprise grids
Enterprise Grid enables sharing and aggregation of a set of computing or storage resources connected by enterprise network, but the availability of the resources in this environme...
Mustafizur Rahman 0003, Md. Rafiul Hassan, Rajkuma...
JMLR
2010
145views more  JMLR 2010»
14 years 6 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever