ct tasks such as extraction of relational information from text [Young] [Jacobs]. We describe a method for classifying news stories using Alternative systems [Biebricher] [Lewis] u...
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Background: Detecting homology between remotely related protein families is an important problem in computational biology since the biological properties of uncharacterized protei...
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...