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» Direct Optimization of Ranking Measures
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ICCV
2011
IEEE
14 years 16 days ago
The Power of Comparative Reasoning
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
Jay Yagnik, Dennis Strelow, David Ross, Ruei-sung ...
102
Voted
GECCO
2000
Springer
153views Optimization» more  GECCO 2000»
15 years 4 months ago
Applying Genetic Algorithms to Multi-Objective Land Use Planning
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
AAAI
2008
15 years 2 months ago
Trace Ratio Criterion for Feature Selection
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshu...
134
Voted
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 10 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
81
Voted
ISBI
2004
IEEE
16 years 1 months ago
Image-Quality Assessment in Optical Tomography
Modern medical imaging systems often rely on complicated hardware and sophisticated algorithms to produce useful digital images. It is essential that the imaging hardware and any ...
Matthew A. Kupinski, Eric Clarkson