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» Using Machine Learning to Focus Iterative Optimization
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116
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ICPR
2004
IEEE
16 years 3 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
95
Voted
CEC
2007
IEEE
15 years 6 months ago
Support vector machines for computing action mappings in learning classifier systems
XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
131
Voted
ICALT
2008
IEEE
15 years 8 months ago
Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
Apparently computer technology is shifting its focus, with individual users not being the main target any more. The evolution of Web 2.0 technologies is promoting the development ...
Tharrenos Bratitsis, Angelique Dimitracopoulou
WWW
2004
ACM
16 years 3 months ago
Web taxonomy integration using support vector machines
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
Dell Zhang, Wee Sun Lee
109
Voted
ICALT
2007
IEEE
15 years 8 months ago
In Search of Quality Learning Technologies for Online Distributed Classrooms
Recent developments in technology and access have offered the opportunity to improve online learning environments through increased communication, interactivity among participants...
Madhumita Bhattacharya, Jon Dron