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    UAI
    2003
    132views Artificial Intelligence» more  UAI 2003»
    Decentralized Sensor Fusion with Distributed Particle Filters
    13 years 6 months ago
    Decentralized Sensor Fusion with Distributed Particle Filters
    Download  www.cs.cmu.edu
    This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
    Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
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    UAI
    2003
    154views Artificial Intelligence» more  UAI 2003»
    Learning Generative Models of Similarity Matrices
    13 years 6 months ago
    Learning Generative Models of Similarity Matrices
    Download  people.csail.mit.edu
    Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
    Rómer Rosales, Brendan J. Frey
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    UAI
    2003
    109views Artificial Intelligence» more  UAI 2003»
    Policy-contingent abstraction for robust robot control
    13 years 6 months ago
    Policy-contingent abstraction for robust robot control
    Download  www.cs.cmu.edu
    ontingent abstraction for robust robot control Joelle Pineau, Geoff Gordon and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 This pape...
    Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
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    UAI
    2003
    104views Artificial Intelligence» more  UAI 2003»
    Optimal Limited Contingency Planning
    13 years 6 months ago
    Optimal Limited Contingency Planning
    Download  ti.arc.nasa.gov
    For a given problem, the optimal Markov policy over a finite horizon is a conditional plan containing a potentially large number of branches. However, there are applications wher...
    Nicolas Meuleau, David E. Smith
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    UAI
    2003
    154views Artificial Intelligence» more  UAI 2003»
    Learning Continuous Time Bayesian Networks
    13 years 6 months ago
    Learning Continuous Time Bayesian Networks
    Download  robotics.stanford.edu
    Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
    Uri Nodelman, Christian R. Shelton, Daphne Koller
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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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