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JMLR
2010
147views more  JMLR 2010»
15 years 2 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
273
Voted
TON
2010
167views more  TON 2010»
15 years 2 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
92
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ICASSP
2011
IEEE
14 years 11 months ago
A machine learning based approach to weather parameter estimation in Doppler weather radar
Satoshi Kon, Toshihisa Tanaka, Humihiko Mizutani, ...