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NIPS
2008
13 years 9 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
SIGMETRICS
2003
ACM
115views Hardware» more  SIGMETRICS 2003»
14 years 29 days ago
Dynamic resource allocation for shared data centers using online measurements
Since web workloads are known to vary dynamically with time, in this paper, we argue that dynamic resource allocation techniques are necessary to provide guarantees to web applicat...
Abhishek Chandra, Weibo Gong, Prashant J. Shenoy
TKDE
2008
155views more  TKDE 2008»
13 years 7 months ago
Incremental Maintenance of Online Summaries Over Multiple Streams
We propose a novel approach based on predictive quantization (PQ) for online summarization of multiple time-varying data streams. A synopsis over a sliding window of most recent en...
Fatih Altiparmak, Ertem Tuncel, Hakan Ferhatosmano...
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
13 years 5 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
COLT
2007
Springer
14 years 1 months ago
Online Learning with Prior Knowledge
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
Elad Hazan, Nimrod Megiddo