Abstract is missing.
- Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC ClassifiersRaymond S. Smith, Terry Windeatt. 1-20 [doi]
- On the Design of Low Redundancy Error-Correcting Output CodesMiguel Ángel Bautista, Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva. 21-38 [doi]
- Minimally-Sized Balanced Decomposition Schemes for Multi-class ClassificationEvgueni N. Smirnov, Matthijs Moed, Georgi I. Nalbantov, Ida G. Sprinkhuizen-Kuyper. 39-58 [doi]
- Bias-Variance Analysis of ECOC and Bagging Using Neural NetsCemre Zor, Terry Windeatt, Berrin A. Yanikoglu. 59-73 [doi]
- Fast-Ensembles of Minimum Redundancy Feature SelectionBenjamin Schowe, Katharina Morik. 75-95 [doi]
- Hybrid Correlation and Causal Feature Selection for Ensemble ClassifiersRakkrit Duangsoithong, Terry Windeatt. 97-115 [doi]
- Learning Markov Blankets for Continuous or Discrete Networks via Feature SelectionHoutao Deng, Saylisse Dávila, George C. Runger, Eugene Tuv. 117-131 [doi]
- Ensembles of Bayesian Network Classifiers Using Glaucoma Data and ExpertiseStefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker. 133-150 [doi]
- A Novel Ensemble Technique for Protein Subcellular Location PredictionAlessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini, Paola Campadelli. 151-167 [doi]
- Trading-Off Diversity and Accuracy for Optimal Ensemble Tree Selection in Random ForestsHaytham Elghazel, Alex Aussem, Florence Perraud. 169-179 [doi]
- Random Oracles for Regression EnsemblesCarlos Pardo, Juan J. Rodríguez Diez, José-Francisco Díez-Pastor, Cesar García-Osorio. 181-199 [doi]
- Embedding Random Projections in Regularized Gradient Boosting MachinesPierluigi Casale, Oriol Pujol, Petia Radeva. 201-216 [doi]
- An Improved Mixture of Experts Model: Divide and Conquer Using Random PrototypesGiuliano Armano, Nima Hatami. 217-231 [doi]
- Three Data Partitioning Strategies for Building Local ClassifiersIndre Zliobaite. 233-250 [doi]