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ICTAI
2008
IEEE
14 years 2 months ago
2008
IEEE
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
CHI
2009
ACM
14 years 8 months ago
2009
ACM
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
CEC
2007
IEEE
13 years 12 months ago
2007
IEEE
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...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...