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ICONIP
2009
15 years 9 days ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
117
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EDOC
2011
IEEE
14 years 2 months ago
Value-Based Service Bundling: A Customer-Supplier Approach
Abstract—Due to future ubiquitous service environments, approaches for dynamic delivery of services face new challenges. Since the web 2.0 gave to customers the change to interac...
Iván S. Razo-Zapata, Pieter De Leenheer, Ja...
ISORC
2006
IEEE
15 years 8 months ago
Load Balancing Techniques for Distributed Stream Processing Applications in Overlay Environments
Service overlays that support distributed stream processing applications are increasingly being deployed in wide-area environments. The inherent heterogeneous, dynamic and large-s...
Yannis Drougas, Thomas Repantis, Vana Kalogeraki
ICDCS
2002
IEEE
15 years 7 months ago
Cooperative Computing for Distributed Embedded Systems
The next generation of computing systems will be embedded, in a virtually unbounded number, and dynamically connected. The current software, network architectures, and their assoc...
Cristian Borcea, Deepa Iyer, Porlin Kang, Akhilesh...
ICDCS
2002
IEEE
15 years 7 months ago
D-Stampede: Distributed Programming System for Ubiquitous Computing
We focus on an important problem in the space of ubiquitous computing, namely, programming support for the distributed heterogeneous computing elements that make up this environme...
Sameer Adhikari, Arnab Paul, Umakishore Ramachandr...