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» An Infrastructure for Adaptive Dynamic Optimization
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ICPR
2010
IEEE
15 years 5 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
IAT
2009
IEEE
15 years 2 months ago
Adapting Recommendations Organization to User Preferences
-- Given the overwhelming information appearing in the current web environment, recommendations have been increasingly applied to assist users in handling with the information over...
Li Chen
LCPC
2007
Springer
15 years 11 months ago
Modeling Relations between Inputs and Dynamic Behavior for General Programs
Program dynamic optimization, adaptive to runtime behavior changes, has become increasingly important for both performance and energy savings. However, most runtime optimizations o...
Xipeng Shen, Feng Mao
SC
2000
ACM
15 years 9 months ago
Scalable Algorithms for Adaptive Statistical Designs
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
GLOBECOM
2008
IEEE
15 years 11 months ago
Optimized Opportunistic Multicast Scheduling over Cellular Networks
—The design of optimal opportunistic multicast scheduling (OMS) that maximizes the throughput of cellular networks is investigated. In a cellular network, the base station (BS) t...
Tze-Ping Low, Man-On Pun, C. C. Jay Kuo