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» Large-Scale Data Analysis Using Heuristic Methods
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CIKM
2009
Springer
15 years 9 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
115
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HCI
2009
15 years 6 days ago
A Comparison of Artifact Reduction Methods for Real-Time Analysis of fNIRS Data
Due to its convenient, low physical restraint, and electric noise tolerant features, functional near-infrared spectroscopy (fNIRS) is expected to be a useful tool in monitoring use...
Takayuki Nozawa, Toshiyuki Kondo
BMCBI
2011
14 years 6 months ago
A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
Juan R. González, Benjamin Rodriguez-Santia...
COR
2006
118views more  COR 2006»
15 years 2 months ago
Simulated annealing heuristics for the dynamic facility layout problem
In today's economy, manufacturing plants must be able to operate efficiently and respond quickly to changes in product mix and demand. Therefore, this paper considers the pro...
Alan R. McKendall Jr., Jin Shang, Saravanan Kuppus...
116
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JDWM
2007
122views more  JDWM 2007»
15 years 2 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho