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» Distributed and Parallel Data Mining on the Grid
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 2 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
GRID
2006
Springer
15 years 1 months ago
Resource Allocation in Streaming Environments
This paper considers resource allocation algorithms for processing streams of events on computational grids. For example, financial trading applications are executed on large comp...
Lu Tian, K. Mani Chandy
HPDC
2007
IEEE
15 years 8 months ago
A fast topology inference: a building block for network-aware parallel processing
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
Tatsuya Shirai, Hideo Saito, Kenjiro Taura
GRID
2006
Springer
15 years 1 months ago
Providing Portlet-Based Client Access to CIMA-Enabled Crystallographic Instruments, Sensors, and Data
The Common Instrument Middleware Architecture (CIMA) project, supported by the NSF Middleware Initiative, aims at making scientific instruments and sensors remotely accessible by ...
Hao Yin, Donald F. McMullen, Mehmet A. Nacar, Marl...
ESCIENCE
2006
IEEE
15 years 8 months ago
A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings,...