Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Advances in modern technologies for measuring protein-protein interaction (PPI) has boosted research in PPI networks analysis and comparison. One of the challenging problems in com...
Background: Recent, rapid growth in the quantity of available genomic data has generated many protein sequences that are not yet biochemically classified. Thus, the prediction of ...
Recent developments in Web technology such as the inclusion of scripting languages, frames, and the growth of dynamic content, have made the process of retrieving Web content more...
Abstract. Recent research has suggested that there is no general similarity measure, which can be applied on arbitrary databases without any parameterization. Hence, the optimal co...