Background: The problem of accurate prediction of protein secondary structure continues to be one of the challenging problems in Bioinformatics. It has been previously suggested t...
Amir Momen-Roknabadi, Mehdi Sadeghi, Hamid Pezeshk...
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Optimisation of real world Variable Data printing (VDP) documents is a difficult problem because the interdependencies between layout functions may drastically reduce the number o...
Alexander J. Macdonald, David F. Brailsford, Steve...
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...