=D0=C1=CB=CB=FC=BB=E1=BA=DC=B7=BD=B1=E3 1. Find time to=20
      write a proper list of things to do! 2. Documentation. 3. Support =
Vector=20
      Regression. 4. Automated model selection. REFERENCES =
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D [1] V.N.=20
      Vapnik, "The Nature of Statistical Learning Theory", =
Springer-Verlag, New=20
      York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of =
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      vector machines using sequential minimal optimization", in =
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      Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. =
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      and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, =
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      185-208, 1999. [3] T. Joachims, "Estimating the Generalization =
Performance=20
      of a <FONT color=3D#c00000>SVM</FONT> Efficiently", LS-8 Report =
25,=20
      Universitat Dortmund, Fachbereich Informatik, 1999. =
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=A3=A1=A3=A1=A3=A1 (2005-11-28=A3=AC<FONT=20
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=E3=B7=A8=A3=A1=A3=A1=A3=A1=A3=A1 (2005-11-28=A3=AC<FONT=20
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