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      <record key="001" att1="001" value="173146" att2="173146">001   173146</record>
      <field key="037" subkey="x">englisch</field>
      <field key="050" subkey="x">Buch</field>
      <field key="076" subkey="">Formalwissenschaft(Ökonomie)</field>
      <field key="100" subkey="">Hyvärinen, Aapo</field>
      <field key="103" subkey="">Neural Networks Research Center of Helsinki University of Technology, Finland, and Senior Fellow of the Academy of Finland</field>
      <field key="104" subkey="a">Karhunen, Juha</field>
      <field key="107" subkey="">Professor at the Neural Networks Research Center of Helsinki University of Technology, Finland</field>
      <field key="108" subkey="a">Oja, Erkki</field>
      <field key="111" subkey="">Professor at the Neural Networks Research Center of Helsinki University of Technology, Finland</field>
      <field key="331" subkey="">Independent Component Analysis</field>
      <field key="403" subkey="">1. Ed.</field>
      <field key="410" subkey="">New York, Chichester, Weinheim</field>
      <field key="412" subkey="">John Wiley and Sons, Inc.</field>
      <field key="425" subkey="">2001</field>
      <field key="433" subkey="">xxi, 481 pp.</field>
      <field key="451" subkey="">Adaptive and Learning Systems for Signal Processing, Communications, and Control</field>
      <field key="451" subkey="h">Haykin, Simon (Ed.)</field>
      <field key="461" subkey="">A Wiley-Interscience Publication</field>
      <field key="517" subkey="c">from the Table of Contents: Preface; Introduction; Mathematical Preliminaries: Random Vectors and Independence; Gradients and</field>
      <field key="Opt" subkey="i">mization Methods; Estimation Theory; Information Theory; Principal Component Analysis and Whitening; Basic Independent</field>
      <field key="Com" subkey="p">onent Analysis: What is Independent Component Analysis?; ICA by Maximization of Nongaussianity; ICA by Maximum Likelihood</field>
      <field key="Est" subkey="i">mation; ICA by Minimization of Mutual Information; ICA by Tensorial Methods; ICA by Nonlinear Decorrelation and Nonlinear</field>
      <field key="PCA" subkey=";">Practical Considerations; Overview and Comparison of Basic ICA Methods; Extensions and Related Methods: Noisy ICA; ICA with</field>
      <field key="Ove" subkey="r">complete Bases; Nonlinear ICA; Methods using Time Structure; Convolutive Mixtures and Blind Deconvolution; Other Extensions;</field>
      <field key="App" subkey="l">ications of ICA: Feature Extraction by ICA; Brain Imaging Applications; Telecommunications; Other Applications;</field>
      <field key="540" subkey="">0-471-40540-X</field>
      <field key="540" subkey="">978-0-471-40540-5</field>
      <field key="544" subkey="">19593-A</field>
      <field key="700" subkey="b">519</field>
      <field key="700" subkey="b">Probabilities and applied mathematics</field>
      <field key="710" subkey="">Multivariate analysis</field>
      <field key="710" subkey="">Principal components analysis</field>
    </SEQUENTIAL>
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