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    » On the Decidability of Functional Uncertainty
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    AIPS
    2004
    119views Artificial Intelligence» more  AIPS 2004»
    Conformant Planning via Heuristic Forward Search: A New Approach
    13 years 10 months ago
    Conformant Planning via Heuristic Forward Search: A New Approach
    Download  www.loria.fr
    Conformant planning is the task of generating plans given uncertainty about the initial state and action effects, and without any sensing capabilities during plan execution. The p...
    Ronen I. Brafman, Jörg Hoffmann
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    EUSFLAT
    2003
    143views Fuzzy Logic» more  EUSFLAT 2003»
    Prediction of surface roughness in ultraprecision turning using fuzzy logic
    13 years 10 months ago
    Prediction of surface roughness in ultraprecision turning using fuzzy logic
    Download  www.eusflat.org
    Ultraprecision turning is a manufacturing process used to generate a high surface roughness in precision components, and its input-output relationships are highly nonlinear. Surfa...
    Arup Kumar Nandi
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    AIPS
    2000
    129views Artificial Intelligence» more  AIPS 2000»
    Representations of Decision-Theoretic Planning Tasks
    13 years 10 months ago
    Representations of Decision-Theoretic Planning Tasks
    Download  www.aaai.org
    Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
    Sven Koenig, Yaxin Liu
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    PUK
    2000
    130views Computer Science» more  PUK 2000»
    Knowledge-Based Control of Decision Theoretic Planning - Adaptive Planning Model Selection
    13 years 10 months ago
    Knowledge-Based Control of Decision Theoretic Planning - Adaptive Planning Model Selection
    Download  www-is.informatik.uni-oldenburg.de
    This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
    Jun Miura, Yoshiaki Shirai
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    UAI
    2000
    96views Artificial Intelligence» more  UAI 2000»
    Minimum Message Length Clustering Using Gibbs Sampling
    13 years 10 months ago
    Minimum Message Length Clustering Using Gibbs Sampling
    Download  www.cs.ucdavis.edu
    The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
    Ian Davidson
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