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» Problems of learning in multi-agent systems
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ATAL
2008
Springer
15 years 7 months ago
Automated design of scoring rules by learning from examples
Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rul...
Ariel D. Procaccia, Aviv Zohar, Jeffrey S. Rosensc...
DICTA
2003
15 years 6 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
15 years 4 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...
MIAR
2010
IEEE
15 years 3 months ago
Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences
Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of internal coronary vessel structures. The IVUS frames are acquired by pulling the ca...
Gozde Gul Isguder, Gözde B. Ünal, Martin...
IS
2010
15 years 2 months ago
Multicriteria reinforcement learning based on a Russian doll method for network routing
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. However, setting the parameters of most used MCDM methods to fit the preferences ...
Alain Pétrowski, Farouk Aissanou, Ilham Ben...