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» Sorting and Searching Algorithms: A Cookbook
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PPAM
2007
Springer
14 years 1 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
SIGIR
2012
ACM
11 years 10 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
GECCO
2006
Springer
332views Optimization» more  GECCO 2006»
13 years 11 months ago
Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...
Gerulf K. M. Pedersen, Zhenyu Yang
ICDT
2001
ACM
124views Database» more  ICDT 2001»
14 years 3 days ago
Mining for Empty Rectangles in Large Data Sets
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
Jeff Edmonds, Jarek Gryz, Dongming Liang, Ren&eacu...
ASWC
2009
Springer
13 years 8 months ago
Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
Vanessa Lopez, Andriy Nikolov, Miriam Ferná...