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courses:rg:2013:composite-activities [2013/04/23 04:31]
machys vytvořeno 		courses:rg:2013:composite-activities [2013/04/23 04:33]
machys
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    - In last paragraph of section 3 theres described method that enhances the robustness of the model (binarization of all association weights <html> <math xmlns="http://www.w3.org/1998/Math/MathML" alttext="association weights"> <msubsup><mi>w</mi><mi>i</mi><mo>z</mo></msubsup> </math> </html>). Answer one of following questions (choose one):    - In last paragraph of section 3 theres described method that enhances the robustness of the model (binarization of all association weights <html> <math xmlns="http://www.w3.org/1998/Math/MathML" alttext="association weights"> <msubsup><mi>w</mi><mi>i</mi><mo>z</mo></msubsup> </math> </html>). Answer one of following questions (choose one):
       * Why it works? (=> Why it should work the best?)       * Why it works? (=> Why it should work the best?)
-      * Have you any idea how to make it different way.+      * Have you any idea how to make it different way?
    - In experiements part, which tools enhanced the tasks Atribute recognition and Composite activity classification "the most". Why?    - In experiements part, which tools enhanced the tasks Atribute recognition and Composite activity classification "the most". Why?

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