A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar C...
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
It is difficult for a student to learn how to program and to build an understanding of the rationale which underpins the development of a program’s componentparts. Conventional ...
Su White, Clare J. Hooper, Leslie Carr, Timothy P....
In this work informal learning theories and practices and social networking features are taken as starting points to build a reference collaboration model to support collaborative ...