Stochastically Constrained Ranking and Selection via SCORE
نویسندگان
چکیده
منابع مشابه
Algorithm Selection via Ranking
The abundance of algorithms developed to solve different problems has given rise to an important research question: How do we choose the best algorithm for a given problem? Known as algorithm selection, this issue has been prevailing in many domains, as no single algorithm can perform best on all problem instances. Traditional algorithm selection and portfolio construction methods typically tre...
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In an era where accumulating data is easy and storing it inexpensive, feature selection plays a central role in helping to reduce the high-dimensionality of huge amounts of otherwise meaningless data. In this paper, we propose a graph-based method for feature selection that ranks features by identifying the most important ones into arbitrary set of cues. Mapping the problem on an affinity graph...
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ژورنال
عنوان ژورنال: ACM Transactions on Modeling and Computer Simulation
سال: 2015
ISSN: 1049-3301,1558-1195
DOI: 10.1145/2630066