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Gradient Descent Search

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  • it_expert_hina
    Explain Gradient Descent Search. Is it optimal? its advantages /disadvantages.
    Message 1 of 3 , Nov 10, 2006
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      Explain Gradient Descent Search. Is it optimal? its advantages
      /disadvantages.
    • j1mmy_n3u7120n
      ... Gradient Descent Search http://en.wikipedia.org/wiki/Gradient_descent -- AI
      Message 2 of 3 , Nov 13, 2006
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        --- In aima-talk@yahoogroups.com, "it_expert_hina"
        <it_expert_hina@...> wrote:
        >
        > Explain Gradient Descent Search. Is it optimal? its advantages
        > /disadvantages.
        >
        Gradient Descent Search
        http://en.wikipedia.org/wiki/Gradient_descent

        -- AI
      • Robert Futrelle
        In Sec. 13.7, The Wumpus World revisted , the approach starts with the distribution of all Pij variables, but only three of the Bij variables, B11, B12, and
        Message 3 of 3 , Dec 3, 2006
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          In Sec. 13.7, "The Wumpus World revisted", the approach starts with
          the distribution of all Pij variables, but only three of the Bij
          variables, B11, B12, and B21. It later factors out the "other"
          variables, meaning only the "other" Pij ones. Since there are
          dependencies involving the "other" Bij ones, why are they not
          included? For example, there is a certain relation between P44 and
          B34 which is part of the full joint. The "other" Bij ones would also
          factor out, since the results of interest are conditionally
          independent of them also.

          It might have been better to say that "other" includes all "other"
          Pij *and* Bij ones, would it not? Even though pits are the *cause*
          of breezes, that doesn't mean that the Bij ones can simply be ignored.

          -- Bob Futrelle
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