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» Using Gaussian Processes to Optimize Expensive Functions
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IPPS
2006
IEEE
15 years 7 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
CODES
2002
IEEE
15 years 6 months ago
Communication speed selection for embedded systems with networked voltage-scalable processors
High-speed serial network interfaces are gaining wide use in connecting multiple processors and peripherals in modern embedded systems, thanks to their size advantage and power ef...
Jinfeng Liu, Pai H. Chou, Nader Bagherzadeh
ORL
2000
77views more  ORL 2000»
15 years 1 months ago
Improved dynamic programs for some batching problems involving the maximum lateness criterion
We study four scheduling problems involving the maximum lateness criterion and an element of batching. For all the problems that we examine, algorithms appear in the literature th...
Albert P. M. Wagelmans, A. E. Gerodimos
GLOBECOM
2010
IEEE
14 years 11 months ago
Need-Based Communication for Smart Grid: When to Inquire Power Price?
In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not...
Husheng Li, Robert C. Qiu
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 3 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu