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ICML
2009
IEEE
15 years 10 months ago
Generalization analysis of listwise learning-to-rank algorithms
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li
ISAAC
2001
Springer
99views Algorithms» more  ISAAC 2001»
15 years 2 months ago
Efficient Algorithms for Two Generalized 2-Median Problems on Trees
Shan-Chyun Ku, Chi-Jen Lu, Biing-Feng Wang, Tzu-Ch...
CIKM
2009
Springer
15 years 4 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
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GECCO
2004
Springer
15 years 3 months ago
Designing Multiplicative General Parameter Filters Using Adaptive Genetic Algorithms
Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large s...
Jarno Martikainen, Seppo J. Ovaska
BICOB
2009
Springer
15 years 4 months ago
Generalized Binary Tanglegrams: Algorithms and Applications
Several applications require the joint display of two phylogenetic trees whose leaves are matched by inter-tree edges. This issue arises, for example, when comparing gene trees and...
Mukul S. Bansal, Wen-Chieh Chang 0002, Oliver Eule...