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    JIRS
    2006
    95views more  JIRS 2006»
    Intelligent Human-Machine Interaction Based on Dynamic Bayesian Networks Probabilistic Intention Recognition
    13 years 7 months ago
    Intelligent Human-Machine Interaction Based on Dynamic Bayesian Networks Probabilistic Intention Recognition
    Download  www.eecs.ucf.edu
    In this article, a novel human
    Karim A. Tahboub
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    SARA
    2007
    Springer
    167views Artificial Intelligence» more  SARA 2007»
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    14 years 1 months ago
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    Download  www-anw.cs.umass.edu
    Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
    Anders Jonsson, Andrew G. Barto
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    SNPD
    2008
    179views Artificial Intelligence» more  SNPD 2008»
    Dynamic Data Feed to Bayesian Network Model and SMILE Web Application
    13 years 9 months ago
    Dynamic Data Feed to Bayesian Network Model and SMILE Web Application
    Download  phd-it.siam.edu
    A complete diagnostic Bayesian network model cannot be achieved and the result of the constructed model cannot be guaranteed unless correct and reliable data are provided to the m...
    Nipat Jongsawat, Pittaya Poompuang, Wichian Premch...
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    AAAI
    2006
    101views Intelligent Agents» more  AAAI 2006»
    Performing Incremental Bayesian Inference by Dynamic Model Counting
    13 years 9 months ago
    Performing Incremental Bayesian Inference by Dynamic Model Counting
    Download  www.aaai.org
    The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
    Wei Li 0002, Peter van Beek, Pascal Poupart
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 9 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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