The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
This paper presents the results of classifying Arabic text documents using the N-gram frequency statistics technique employing a dissimilarity measure called the "Manhattan di...
This paper proposes a binary classification tree aiming at solving multi-class classification problems using binary classifiers. The tree design is achieved in a way that a class ...
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
A recently published approach to adaptive page rank, using the solution of quadratic optimization methods with a set of simple constraints [3], is modified to permit classificatio...
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchn...