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ICML
2006
IEEE
15 years 10 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
CORR
2010
Springer
145views Education» more  CORR 2010»
14 years 10 months ago
Distributed Rate Allocation Policies for Multi-Homed Video Streaming over Heterogeneous Access Networks
We consider the problem of rate allocation among multiple simultaneous video streams sharing multiple heterogeneous access networks. We develop and evaluate an analytical framework...
Xiaoqing Zhu, Piyush Agrawal, Jatinder Pal Singh, ...
UAI
2003
14 years 11 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
ISCAPDCS
2007
14 years 11 months ago
Distributed algorithms for dynamic coverage in sensor networks
The coverage problem is of great interest for many sensor network applications, for example, detection of intruders in the sensor field. Topological changes in sensor networks ma...
Lan Lin, Hyunyoung Lee
GLOBECOM
2008
IEEE
14 years 11 months ago
Cross-Layer Rate Allocation for Multimedia Applications in Pervasive Computing Environment
Abstract— An important issue for supporting multimedia applications in multiple heterogeneous networks, a typical pervasive computing environment, is how to optimize the rate all...
Liang Zhou, Benoit Geller, Anne Wei, Baoyu Zheng, ...