1. A survey of methods for distributed machine learning

   • Diego Peteiro-Barral
   • Bertha Guijarro-Berdiñas

   Review 15 November 2012 Pages: 1 - 11

2. Learning domain structure through probabilistic policy reuse in reinforcement learning

   • Fernando Fernández
   • Manuela Veloso

   Regular Paper 13 October 2012 Pages: 13 - 27

   

3. Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections

   • Nicolás García-Pedrajas
   • César García-Osorio

   Regular Paper 17 October 2012 Pages: 29 - 44

   

4. 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
   • Jesús M. Pérez

   Regular Paper 24 November 2012 Pages: 45 - 63

   

5. Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis

   • Ludmila I. Kuncheva
   • Juan J. Rodríguez

   Regular Paper 25 December 2012 Pages: 65 - 72

   

6. A novel framework for class imbalance learning using intelligent under-sampling

   • Satuluri Naganjaneyulu
   • Mrithyumjaya Rao Kuppa

   Regular Paper 27 December 2012 Pages: 73 - 84

   

7. Passive–aggressive online distance metric learning and extensions

   • Adrián Pérez-Suay
   • Francesc J. Ferri
   • Miguel Arevalillo-Herráez

   Regular Paper 24 January 2013 Pages: 85 - 96