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    CSL
    2012
    Springer
    311views Automated Reasoning» more  CSL 2012»
    Reinforcement learning for parameter estimation in statistical spoken dialogue systems
    12 years 6 months ago
    Reinforcement learning for parameter estimation in statistical spoken dialogue systems
    Download  mi.eng.cam.ac.uk
    Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
    Filip Jurcícek, Blaise Thomson, Steve Young
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    FGR
    2000
    IEEE
    162views Biometrics» more  FGR 2000»
    Person Tracking in Real-World Scenarios Using Statistical Methods
    14 years 1 months ago
    Person Tracking in Real-World Scenarios Using Statistical Methods
    Download  www.mmk.ei.tum.de
    This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
    Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...
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    TSE
    2002
    83views more  TSE 2002»
    Optimum Control Limits for Employing Statistical Process Control in Software Process
    13 years 10 months ago
    Optimum Control Limits for Employing Statistical Process Control in Software Process
    Download  www.cse.iitk.ac.in
    There is an increased interest in using control charts for monitoring and improving software processes, particularly quality control processes like reviews and testing. In a contro...
    Pankaj Jalote, Ashish Saxena
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 10 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    Download  www.biomedcentral.com
    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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    WSC
    2008
    181views Modeling And Simulation» more  WSC 2008»
    Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
    14 years 20 days ago
    Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
    Download  www.informs-sim.org
    MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
    Liqing Di, Zhihua Xiong, XianHui Yang
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