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    UAI
    2000
    186views Artificial Intelligence» more  UAI 2000»
    Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
    14 years 11 months ago
    Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
    Download  www.cs.ubc.ca
    Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
    Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
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    NIPS
    1993
    66views Information Technology» more  NIPS 1993»
    Surface Learning with Applications to Lipreading
    14 years 11 months ago
    Surface Learning with Applications to Lipreading
    Download  www.ai.mit.edu
    Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
    Christoph Bregler, Stephen M. Omohundro
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    BIOSYSTEMS
    2007
    72views more  BIOSYSTEMS 2007»
    On the use of multi-objective evolutionary algorithms for survival analysis
    14 years 9 months ago
    On the use of multi-objective evolutionary algorithms for survival analysis
    Download  pcwww.liv.ac.uk
    This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
    Christian Setzkorn, Azzam Fouad George Taktak, Ber...
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    AUTOMATICA
    2006
    112views more  AUTOMATICA 2006»
    Joint identification of plant rational models and noise distribution functions using binary-valued observations
    14 years 9 months ago
    Joint identification of plant rational models and noise distribution functions using binary-valued observations
    Download  lsc.amss.ac.cn
    System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor inform...
    Le Yi Wang, Gang George Yin, Ji-Feng Zhang
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    ESWA
    2006
    86views more  ESWA 2006»
    Modeling consumer acceptance probabilities
    14 years 9 months ago
    Modeling consumer acceptance probabilities
    Download  www.crc.man.ed.ac.uk
    This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to choose the optimal set of parameters f...
    L. C. Thomas, Ki Mun Jung, Steve D. Thomas, Y. Wu
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