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    UAI
    2003
    104views Artificial Intelligence» more  UAI 2003»
    Renewal Strings for Cleaning Astronomical Databases
    13 years 6 months ago
    Renewal Strings for Cleaning Astronomical Databases
    Download  homepages.inf.ed.ac.uk
    Large astronomical databases obtained from sky surveys such as the SuperCOSMOS Sky Surveys (SSS) invariably suffer from spurious records coming from artefactual effects of the t...
    Amos J. Storkey, Nigel C. Hambly, Christopher K. I...
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    UAI
    2003
    107views Artificial Intelligence» more  UAI 2003»
    The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
    13 years 6 months ago
    The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach
    Download  www.cs.washington.edu
    We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
    Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Ko...
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    UAI
    2003
    88views Artificial Intelligence» more  UAI 2003»
    Learning Measurement Models for Unobserved Variables
    13 years 6 months ago
    Learning Measurement Models for Unobserved Variables
    Download  www-2.cs.cmu.edu
    Ricardo Bezerra de Andrade e Silva, Richard Schein...
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    UAI
    2003
    102views Artificial Intelligence» more  UAI 2003»
    Learning Module Networks
    13 years 6 months ago
    Learning Module Networks
    Download  jmlr.csail.mit.edu
    Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
    Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
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    UAI
    2003
    172views Artificial Intelligence» more  UAI 2003»
    On the Convergence of Bound Optimization Algorithms
    13 years 6 months ago
    On the Convergence of Bound Optimization Algorithms
    Download  cs.nyu.edu
    Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
    Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
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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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