Titlebook: Applications of Supervised and Unsupervised Ensemble Methods; Oleg Okun,Giorgio Valentini Book 2009 Springer-Verlag Berlin Heidelberg 2009

Intersect

An Ensemble Pruning Primer,resentative methods of each category. It abstracts their key components and discusses their main advantages and disadvantages. We hope that this work will serve as a good starting point and reference for researchers working on the development of new ensemble pruning methods.

capsule

Clustering Ensembles with Active Constraints, during the partitioning process. The experimental results show that our constrained ensemble technique is capable of producing a partition that is as good as, or better, than those computed by other semi-supervised clustering approaches.

減震

Integrating Liknon Feature Selection and Committee Training,In problems, characterized by nonlinear class separation, the Liknon-selected feature profiles, optimal for linear class separation, also identify the relevant feature subspaces. The capabilities of the proposed approach are illustrated in a benchmark of NIPS2003 feature selection challenge.