rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Applications of Supervised and Unsupervised Ensemble Methods
  name:
    name part: Okun, Oleg.
    role:
      role term: editor.
  name:
    name part: Valentini, Giorgio.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 268 p. 87 illus., 59 illus. in color. online resource.
  abstract: This book contains the extended papers presented at the 2nd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) held on 21-22 July, 2008 in Patras, Greece, in conjunction with the 18th European Conference on Artificial Intelligence (ECAI’2008). This workshop was a successor of the smaller event held in 2007 in conjunction with 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain. The success of that event as well as the publication of workshop papers in the edited book “Supervised and Unsupervised Ensemble Methods and their Applications”, published by Springer-Verlag in Studies in Computational Intelligence Series in volume 126, encouraged us to continue a good tradition. The purpose of this book is to support practitioners in various branches of science and technology to adopt the ensemble approach for their daily research work. We hope that fourteen chapters composing the book will be a good guide in the sea of numerous opportunities for ensemble methods.
  table of contents: An Ensemble Pruning Primer -- Evade Hard Multiple Classifier Systems -- A Personal Antispam System Based on a Behaviour-Knowledge Space Approach -- Weighted Decoding ECOC for Facial Action Unit Classification -- Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources -- Partitioner Trees for Classification: A New Ensemble Method -- Disturbing Neighbors Diversity for Decision Forests -- Improving Supervised Learning with Multiple Clusterings -- The Neighbors Voting Algorithm and Its Applications -- Clustering Ensembles with Active Constraints -- Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs -- Independent Data Model Selection for Ensemble Dispersion Forecasting -- Integrating Liknon Feature Selection and Committee Training -- Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care.
  note: edited by Oleg Okun, Giorgio Valentini.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 245
  identifier: 9783642039997
  identifier: http://dx.doi.org/10.1007/978-3-642-03999-7
  record info:
    record creation date: 100301
    record change date: 20151204171924.0
    record identifier: 978-3-642-03999-7