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    UAI
    2003
    82views Artificial Intelligence» more  UAI 2003»
    Practically Perfect
    13 years 6 months ago
    Practically Perfect
    Download  research.microsoft.com
    We prove that perfect distributions exist when using a finite number of bits to represent the parameters of a Bayesian network. In addition, we provide an upper bound on the prob...
    Christopher Meek, David Maxwell Chickering
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    UAI
    2003
    148views Artificial Intelligence» more  UAI 2003»
    Marginalizing Out Future Passengers in Group Elevator Control
    13 years 6 months ago
    Marginalizing Out Future Passengers in Group Elevator Control
    Download  www.merl.com
    Group elevator scheduling is an NP-hard sequential decision-making problem with unbounded state spaces and substantial uncertainty. Decision-theoretic reasoning plays a surprising...
    Daniel Nikovski, Matthew Brand
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    UAI
    2003
    122views Artificial Intelligence» more  UAI 2003»
    On Local Optima in Learning Bayesian Networks
    13 years 6 months ago
    On Local Optima in Learning Bayesian Networks
    Download  www.ida.liu.se
    This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
    Jens D. Nielsen, Tomás Kocka, José M...
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    UAI
    2003
    99views Artificial Intelligence» more  UAI 2003»
    Systematic vs. Non-systematic Algorithms for Solving the MPE Task
    13 years 6 months ago
    Systematic vs. Non-systematic Algorithms for Solving the MPE Task
    Download  www.ics.uci.edu
    The paper explores the power of two systematic Branch and Bound search algorithms that exploit partition-based heuristics, BBBT (a new algorithm for which the heuristic informatio...
    Radu Marinescu 0002, Kalev Kask, Rina Dechter
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    UAI
    2003
    128views Artificial Intelligence» more  UAI 2003»
    A Linear Belief Function Approach to Portfolio Evaluation
    13 years 6 months ago
    A Linear Belief Function Approach to Portfolio Evaluation
    Download  web.ku.edu
    We show how to use linear belief functions to represent market information and financial knowledge, including complete ignorance, statistical observations, subjective speculations...
    Liping Liu, Catherine Shenoy, Prakash P. Shenoy
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    UAI
    2003
    121views Artificial Intelligence» more  UAI 2003»
    Learning Riemannian Metrics
    13 years 6 months ago
    Learning Riemannian Metrics
    Download  www-2.cs.cmu.edu
    We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
    Guy Lebanon
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    UAI
    2003
    116views Artificial Intelligence» more  UAI 2003»
    Preference-based Graphic Models for Collaborative Filtering
    13 years 6 months ago
    Preference-based Graphic Models for Collaborative Filtering
    Download  www.cs.cmu.edu
    Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
    Rong Jin, Luo Si, ChengXiang Zhai
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    UAI
    2003
    118views Artificial Intelligence» more  UAI 2003»
    Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
    13 years 6 months ago
    Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
    Download  www.ics.uci.edu
    In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
    David Larkin
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    UAI
    2003
    90views Artificial Intelligence» more  UAI 2003»
    1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?"
    13 years 6 months ago
    1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?"
    Download  dpennock.com
    Shyong K. Lam, David M. Pennock, Dan Cosley, Steve...
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    UAI
    2003
    118views Artificial Intelligence» more  UAI 2003»
    Layerwidth: Analysis of a New Metric for Directed Acyclic Graphs
    13 years 6 months ago
    Layerwidth: Analysis of a New Metric for Directed Acyclic Graphs
    Download  www.ling.uni-potsdam.de
    We analyze a new property of directed acyclic graphs (DAGs), called layerwidth, arising from a class of DAGs proposed by Eiter and Lukasiewicz. This class of DAGs permits certain ...
    Mark Hopkins
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