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ICML
2010
IEEE
13 years 9 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey
ICMCS
1999
IEEE
106views Multimedia» more  ICMCS 1999»
14 years 24 days ago
Integrating Support for Collaboration-Unaware VRML Models into Cooperative Applications
This paper presents design and architecture of the distributed virtual reality service (dvr) which allows collaboration-unaware VRML animations and simulations to be integrated in...
Werner Geyer, Martin Mauve
TPDS
2010
135views more  TPDS 2010»
13 years 6 months ago
Maximizing Service Reliability in Distributed Computing Systems with Random Node Failures: Theory and Implementation
—In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliabil...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat
CCGRID
2004
IEEE
14 years 8 days ago
Capability matching of data streams with network services
Distributed computing middleware needs to support a wide range of resources, such as diverse software components, various hardware devices, and heterogeneous operating systems and...
Han Gao, Ivan R. Judson, Thomas D. Uram, Terry Dis...
GCC
2006
Springer
14 years 5 days ago
Grid Enabled Data Integration Framework for Bioinformatics Research
A framework is proposed to manage the distributed and heterogeneous databases in grid environment for understanding protein-protein interaction. Furthermore, the framework is used...
Jia Liu, Yongwei Wu, Weimin Zheng