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    UAI
    2007
    173views Artificial Intelligence» more  UAI 2007»
    Automatic Generation of Four-part Harmony
    13 years 5 months ago
    Automatic Generation of Four-part Harmony
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    This paper introduces decision-theoretic planning techniques into automatic music generation. Markov decision processes (MDPs) are a mathematical model of planning under uncertain...
    Liangrong Yi, Judy Goldsmith
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    UAI
    2007
    136views Artificial Intelligence» more  UAI 2007»
    A System for Ontologically-Grounded Probabilistic Matching
    13 years 5 months ago
    A System for Ontologically-Grounded Probabilistic Matching
    Download  www.georeferenceonline.com
    This paper is part of a project to match descriptions of real-world instances and probabilistic models, both of which can be described at mulvel of abstraction and detail. We use ...
    Rita Sharma, David Poole, Clinton Smyth
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    UAI
    2007
    142views Artificial Intelligence» more  UAI 2007»
    Indirectly Visible Bayesian Student Models
    13 years 5 months ago
    Indirectly Visible Bayesian Student Models
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    Inspectable Bayesian student models have been used to support student reflection, knowledge awareness and communication among teacher, students and parents. This paper presents a...
    Juan-Diego Zapata-Rivera
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    UAI
    2007
    134views Artificial Intelligence» more  UAI 2007»
    "I Can Name that Bayesian Network in Two Matrixes!"
    13 years 5 months ago
    "I Can Name that Bayesian Network in Two Matrixes!"
    Download  sunsite.informatik.rwth-aachen.de
    The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
    Russell Almond
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    UAI
    2007
    114views Artificial Intelligence» more  UAI 2007»
    Aggregating Across Multiple Levels of Granularity to Meet Customer and Organizational Query Requirements
    13 years 5 months ago
    Aggregating Across Multiple Levels of Granularity to Meet Customer and Organizational Query Requirements
    Download  sunsite.informatik.rwth-aachen.de
    A research organization responds to a variety of customer requests. Each high level request is broken down into a set of low level requests. For each low level request, the resear...
    Suzanne M. Mahoney
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    UAI
    2007
    152views Artificial Intelligence» more  UAI 2007»
    User-Centered Methods for Rapid Creation and Validation of Bayesian Belief Networks
    13 years 5 months ago
    User-Centered Methods for Rapid Creation and Validation of Bayesian Belief Networks
    Download  sunsite.informatik.rwth-aachen.de
    Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
    Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, Davi...
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    UAI
    2007
    121views Artificial Intelligence» more  UAI 2007»
    Library-style Ontologies to Support Varying Model Views
    13 years 5 months ago
    Library-style Ontologies to Support Varying Model Views
    Download  ftp.informatik.rwth-aachen.de
    The next development in building Bayesian networks will most likely entail constructing multipurpose models that can be employed for varying tasks and by different types of user. ...
    Hermina J. M. Tabachneck-Schijf, Linda C. van der ...
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    UAI
    1992
    112views Artificial Intelligence» more  UAI 1992»
    Exploring Localization in Bayesian Networks for Large Expert Systems
    13 years 5 months ago
    Exploring Localization in Bayesian Networks for Large Expert Systems
    Download  www.cis.uoguelph.ca
    Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain ma...
    Yang Xiang, David Poole, Michael P. Beddoes
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    UAI
    1992
    103views Artificial Intelligence» more  UAI 1992»
    Interval Structure: A Framework for Representing Uncertain Information
    13 years 5 months ago
    Interval Structure: A Framework for Representing Uncertain Information
    Download  www2.cs.uregina.ca
    In this paper, a unified framework for representing uncertain information based on the notion of an interval structure is proposed. It is shown that the lower and upper approximat...
    S. K. Michael Wong, Lusheng Wang, Yiyu Yao
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    UAI
    1992
    131views Artificial Intelligence» more  UAI 1992»
    Decision Making Using Probabilistic Inference Methods
    13 years 5 months ago
    Decision Making Using Probabilistic Inference Methods
    Download  www.stanford.edu
    Ross D. Shachter, Mark A. Peot
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