Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
It is agreed upon that topological relations ore of great importance regarding to GIS data sets consistency. A lot of errors that can be found in GIS data sets are coming from a l...
To be reversible as a data hiding method, the original content and hidden message should be completely recovered. One important objective of this approach is to achieve high embed...
Hee Joon Hwang, Hyoung Joong Kim, Vasiliy Sachnev,...