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» Magnitude-preserving ranking algorithms
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CEC
2011
IEEE
14 years 6 months ago
Trainer selection strategies for coevolving rank predictors
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
Daniel L. Ly, Hod Lipson
164
Voted
WWW
2005
ACM
16 years 6 months ago
Exploiting the deep web with DynaBot: matching, probing, and ranking
We present the design of Dynabot, a guided Deep Web discovery system. Dynabot's modular architecture supports focused crawling of the Deep Web with an emphasis on matching, p...
Daniel Rocco, James Caverlee, Ling Liu, Terence Cr...
WWW
2003
ACM
16 years 6 months ago
A new paradigm for ranking pages on the world wide web
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a method of entropy maximization. This traffic is subject to the conservation con...
John A. Tomlin
CLEF
2007
Springer
16 years 12 days ago
Using Centrality to Rank Web Snippets
We describe our participation in the WebCLEF 2007 task, targeted at snippet retrieval from web data. Our system ranks snippets based on a simple similarity-based centrality, inspir...
Valentin Jijkoun, Maarten de Rijke
ECCV
2010
Springer
15 years 8 months ago
Bilinear Kernel Reduced Rank Regression for Facial Expression Synthesis
In the last few years, Facial Expression Synthesis (FES) has been a flourishing area of research driven by applications in character animation, computer games, and human computer ...