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» On the Complexity of Train Assignment Problems
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154
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STACS
2012
Springer
13 years 11 months ago
On Computing Pareto Stable Assignments
Assignment between two parties in a two-sided matching market has been one of the central questions studied in economics, due to its extensive applications, focusing on different...
Ning Chen
140
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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 9 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
165
Voted
ACL
2010
14 years 10 months ago
Adapting Self-Training for Semantic Role Labeling
Supervised semantic role labeling (SRL) systems trained on hand-crafted annotated corpora have recently achieved state-of-the-art performance. However, creating such corpora is te...
Rasoul Samad Zadeh Kaljahi
104
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ECCV
2008
Springer
16 years 5 months ago
A New Baseline for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been propo...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
IJCV
2010
168views more  IJCV 2010»
15 years 2 months ago
Baselines for Image Annotation
Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have b...
Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar