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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 6 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
INFOCOM
1997
IEEE
13 years 11 months ago
An Empirical Model of HTTP Network Traffic
The workload of the global Internet is dominated by the Hypertext Transfer Protocol (HTTP), an application protocol used by World Wide Web clients and servers. Simulation studies ...
Bruce A. Mah
TIT
2008
84views more  TIT 2008»
13 years 7 months ago
Optimal Universal Schedules for Discrete Broadcast
In this paper we study the scenario in which a server sends dynamic data over a single broadcast channel to a number of passive clients. We consider the data to consist of discret...
Michael Langberg, Alexander Sprintson, Jehoshua Br...
ISBI
2004
IEEE
14 years 8 months ago
Incremental Activation Detection in fMRI Series Using Kalman Filtering
We propose a new detection algorithm for functional magnetic resonance imaging (fMRI) data. Our basic idea is to use an extended Kalman filter (EKF) to fit a general linear model ...
Alexis Roche, Jean-Baptiste Poline, Pierre-Jean La...
ICASSP
2011
IEEE
12 years 11 months ago
Modified embedding for multi-regime detection in nonstationary streaming data
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
Evan Kriminger, José Carlos Príncipe...