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Browsing Technical Reports (Electrical Engineering and Computer Science) by Subject "Markov processes"

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Browsing Technical Reports (Electrical Engineering and Computer Science) by Subject "Markov processes"

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  • Oregon State University. Dept. of Computer Science; Bayer, Valentina (Corvallis, OR : Oregon State University, Dept. of Computer Science, 1999)
    "The specifi c problem addressed in this proposal is the development of good approximation algorithms for solving problems that have partial observability. The model we propose associates costs with obtaining informatio ...
  • Oregon State University. Dept. of Computer Science; Bayer-Zubek, Valentina; Dietterich, Thomas Glen (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2004)
    This paper studies the problem of learning diagnostic policies from training examples. A diagnostic policy is a complete description of the decision-making actions of a diagnostician (i.e., tests followed by a diagnostic ...
  • Oregon State University. Dept. of Computer Science; Zubek, Valentina Bayer (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2004)
    A diagnostic policy species what test to perform next based on the results of previous tests and when to stop and make a diagnosis. Cost-sensitive diagnostic policies perform tradeoffs between (a) the costs of tests and ...
  • Oregon State University. Dept. of Computer Science; Bayer, Valentina; Dietterich, Thomas Glen (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2000)
    This paper introduces the even-odd POMDP, an approximation to POMDPs in which the world is assumed to be fully observable every other time step. The even-odd POMDP can be converted into an equivalent MDP, the 2MDP, whos ...
  • Oregon State University. Dept. of Computer Science; Zubek, Valentina Bayer; Dietterich, Thomas Glen (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2004-07-05)
    This paper introduces the even-odd POMDP an approximation to POMDPs Partially Observable Markov Decision Problems in which the world is assumed to be fully observable every other time step. This approximation works wel ...
  • Oregon State University. Dept. of Computer Science; Zubek, Valentina Bayer; Dietterich, Thomas Glen (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2004)
    This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to formulate this as a Markov Decision Proc ...
  • Oregon State University. Dept. of Computer Science; Zubek, Valentina Bayer; Dietterich, Thomas Glen (Corvallis, OR : Oregon State University, Dept. of Computer Science, 2004)
    A common heuristic for solving Partially Observable Markov Decision Problems POMDPs is to first solve the underlying Markov Decision Process MDP and then construct a POMDP policy by performing a fixed depth lookahead sea ...

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