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113
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EUROPAR
2008
Springer
15 years 5 months ago
Mapping Heterogeneous Distributed Applications on Clusters
Performance of distributed applications largely depends on the mapping of their components on the underlying architecture. On one mponent-based approaches provide an abstraction su...
Sylvain Jubertie, Emmanuel Melin, Jér&eacut...
145
Voted
CIKM
1994
Springer
15 years 7 months ago
Intelligent Caching: Selecting, Representing, and Reusing Data in an Information Server
Accessing information sources to retrieve data requested by a user can be expensive, especially when dealing with distributed information sources. One way to reduce this cost is t...
Yigal Arens, Craig A. Knoblock
113
Voted
ADC
2007
Springer
124views Database» more  ADC 2007»
15 years 9 months ago
Interoperability for Geospatial Analysis: a Semantics and Ontology-based Approach
Information extraction and integration from heterogeneous, autonomous data resources are major requirements for many spatial applications. Geospatial analysis for scientific disco...
Zarine Kemp, Lei Tan, Jacqueline L. Whalley
270
Voted
SCANGIS
2003
15 years 5 months ago
Parallel Distributed Application Framework for Earth Science Data Processing
The management and the processing of Earth science data has been gaining importance over the last decade due to higher data volumes generated by a larger number of instruments and ...
Petr Votava, Rama Nemani, Keith Golden, Daniel E. ...
144
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JMLR
2010
144views more  JMLR 2010»
14 years 10 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...