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An Application of Support Vector Machines in the Prediction of Acquisition Targets: Evidence from the EU Banking Sector

  • Fotios Pasiouras
  • Chrysovalantis Gaganis
  • Sailesh Tanna
  • Constantin Zopounidis
Part of the Springer Optimization and Its Applications book series (SOIA, volume 18)

Keywords

Support Vector Machine Banking Sector European Central Bank Probabilistic Neural Network Radial Basis Function Kernel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.School of ManagementUniversity of BathBathUK
  2. 2.Financial Engineering Laboratory, Department of Production Engineering and ManagementTechnical University of Crete, University CampusChaniaGreece
  3. 3.Department of Economics, Finance and Accounting, Faculty of Business, Environment and SocietyCoventry UniversityCoventryUK

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