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» Distributed data mining in grid computing environments
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 2 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
134
Voted
SIGMETRICS
2010
ACM
181views Hardware» more  SIGMETRICS 2010»
15 years 2 months ago
A unified modeling framework for distributed resource allocation of general fork and join processing networks
This paper addresses the problem of distributed resource allocation in general fork and join processing networks. The problem is motivated by the complicated processing requiremen...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...
GCC
2009
Springer
15 years 3 days ago
Interfaces for Placement, Migration, and Monitoring of Virtual Machines in Federated Clouds
Current cloud computing infrastructure offerings are lacking in interoperability, which is a hindrance to the advancement and adoption of the cloud computing paradigm. As clouds ar...
Erik Elmroth, Lars Larsson
120
Voted
SAC
2006
ACM
15 years 8 months ago
Distributed context management in a mobility and adaptation enabling middleware (MADAM)
CT As computing devices are getting smaller, we tend to bring them everywhere. Consequently the operating conditions of the devices are constantly changing (e.g. changing user requ...
Marius Mikalsen, Nearchos Paspallis, Jacqueline Fl...
110
Voted
ISMAR
2007
IEEE
15 years 8 months ago
A System Architecture for Ubiquitous Tracking Environments
Ubiquitous tracking setups, covering large tracking areas with many heterogeneous sensors of varying accuracy, require dedicated middleware to facilitate development of stationary...
Manuel Huber, Daniel Pustka, Peter Keitler, Floria...