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EVOW
2009
Springer
15 years 6 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
ECIS
2001
15 years 1 months ago
Information technology as a fellow player in organizational learning
Issues about the relation between information technology (IT), knowledge and organizational learning appear more critical as IT becomes an increasingly integrated part of organiza...
Jens Broendsted, Bente Elkjaer
ECML
2006
Springer
15 years 3 months ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham
NAACL
2007
15 years 1 months ago
Tree Revision Learning for Dependency Parsing
We present a revision learning model for improving the accuracy of a dependency parser. The revision stage corrects the output of the base parser by means of revision rules learne...
Giuseppe Attardi, Massimiliano Ciaramita
TIT
2008
224views more  TIT 2008»
14 years 11 months ago
Graph-Based Semi-Supervised Learning and Spectral Kernel Design
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
Rie Johnson, Tong Zhang