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17 years 22 days 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...
125
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INFOCOM
2006
IEEE
15 years 8 months ago
Dual-Resource TCP/AQM for Processing-Constrained Networks
— This paper examines congestion control issues for TCP flows that require in-network processing on the fly in network elements such as gateways, proxies, firewalls and even r...
Minsu Shin, Song Chong, Injong Rhee
107
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ICDCS
2005
IEEE
15 years 8 months ago
Optimal Component Composition for Scalable Stream Processing
Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...
Xiaohui Gu, Philip S. Yu, Klara Nahrstedt
128
Voted
DASFAA
2003
IEEE
108views Database» more  DASFAA 2003»
15 years 7 months ago
Spatial Query Processing for High Resolutions
Modern database applications including computeraided design (CAD), medical imaging, or molecular biology impose new requirements on spatial query processing. Particular problems a...
Hans-Peter Kriegel, Martin Pfeifle, Marco Pöt...
143
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MP
2007
145views more  MP 2007»
15 years 2 months ago
Machine scheduling with resource dependent processing times
We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the proce...
Alexander Grigoriev, Maxim Sviridenko, Marc Uetz