Ausgabe 1/2013
Inhalt (7 Artikel)
Review
A survey of methods for distributed machine learning
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
Regular Paper
Learning domain structure through probabilistic policy reuse in reinforcement learning
Fernando Fernández, Manuela Veloso
Regular Paper
Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections
Nicolás García-Pedrajas, César García-Osorio
Regular Paper
The quest for the optimal class distribution: an approach for enhancing the effectiveness of learning via resampling methods for imbalanced data sets
Iñaki Albisua, Olatz Arbelaitz, Ibai Gurrutxaga, Aritz Lasarguren, Javier Muguerza, Jesús M. Pérez
Regular Paper
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis
Ludmila I. Kuncheva, Juan J. Rodríguez
Regular Paper
A novel framework for class imbalance learning using intelligent under-sampling
Satuluri Naganjaneyulu, Mrithyumjaya Rao Kuppa
Regular Paper
Passive–aggressive online distance metric learning and extensions
Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez