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Re: Gradient Descent Search

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  • j1mmy_n3u7120n
    ... Gradient Descent Search http://en.wikipedia.org/wiki/Gradient_descent -- AI
    Message 1 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 2 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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