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» On Aggregating Teams of Learning Machines
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ICMLC
2010
Springer
13 years 5 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong
ICML
2000
IEEE
14 years 7 days ago
Using Learning by Discovery to Segment Remotely Sensed Images
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
Leen-Kiat Soh, Costas Tsatsoulis
ECTEL
2007
Springer
14 years 2 months ago
Flexible Processes in Project-Centred Learning
Project-centred learning is increasingly used both in academia and in companies; universities train students to master complex tasks, often suggested by real-life situations, while...
Stefano Ceri, Maristella Matera, Alessandro Raffio...
IJCNN
2006
IEEE
14 years 1 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
CLEF
2011
Springer
12 years 7 months ago
Adapting Statistical Language Identification Methods for Short Queries
This paper describes the participation of UAIC team at the LogCLEF 2011 initiative, language identification task. Our approach is an aggregation of known methods for recognizing la...
Alexandru-Lucian Gînsca, Emanuela Boros, Adr...