Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning progress during a pool-based active learning sessi...
This paper presents an ontology, the Java Learning Object Ontology - JLOO, for organizing learning objects of Java courses in an adaptive e-learning environment. The classificatio...