Dr. Roman Rosipal, OFAI, Wien

Lecture
                                VORTRAG
                                *******

Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI)
                      Freyung 6/6, A-1010 Wien
 Tel.: +43-1-53361120,  Fax: +43-1-5336112-77,  Email: sec@oefai.at
-------------------------------------------------------------------------

  Dr. Roman Rosipal
  Oesterreichisches Forschungsinstitut
  fuer Artificial Intelligence, OFAI, Wien


           OVERVIEW AND SOME ASPECTS OF PARTIAL LEAST SQUARES

  Partial least squares (PLS) is a popular approach for soft modeling in
  industrial applications. PLS is a method for constructing predictive
  models consisting of a set of score vectors (latent variables). The
  score vectors are constructed to model relations between multivariate
  descriptor and uni- or multivariate response blocks of data where a
  criterion of maximal covariance is used. This talk will give an
  overview of PLS and its different forms. The nonlinear, kernel-based,
  extension of PLS will be considered throughout the talk in parallel to
  the linear PLS model. Existing relations of PLS to canonical
  correlation analysis, Fisher discriminant analysis and principal
  component analysis will be highlighted. The talk will focus on
  statistical perspective of the PLS regression model and its shrinkage
  properties with respect to ordinary least squares regression. Several
  aspects of PLS associated with multiple multivariate response
  regression, geometric interpretation, variables selection and the use
  of the PLS model in discrimination tasks will also be mentioned in the
  talk. Finally, several successful applications of the use of the PLS
  regression and classification models on electroencephalogram data will
  be described.

                                *********

  Zeit:   Mittwoch, 16. Maerz 2005, 18:30 Uhr pktl.

  Ort:    Oesterreichisches Forschungsinstitut
          fuer Artificial Intelligence, OFAI
          Freyung 6, Stiege 6, 1010 Wien.


  OESTERREICHISCHES FORSCHUNGSINSTITUT
  FUER ARTIFICIAL INTELLIGENCE


  o.Univ.-Prof. Ing. Dr. Robert Trappl