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    ICMLA
    2008
    134views Machine Learning» more  ICMLA 2008»
    Comparison with Parametric Optimization in Credit Card Fraud Detection
    13 years 9 months ago
    Comparison with Parametric Optimization in Credit Card Fraud Detection
    Download  www.ime.usp.br
    We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
    Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
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    MBEES
    2007
    127views Embedded Systems» more  MBEES 2007»
    Das MATE Projekt - visuelle Spezifikation von MATLAB Simulink/Stateflow Analysen und Transformationen
    13 years 9 months ago
    Das MATE Projekt - visuelle Spezifikation von MATLAB Simulink/Stateflow Analysen und Transformationen
    Download  www.ichmaschine.de
    : Die modellbasierte Entwicklung beginnt sich als Standardparadigma in der Steuergerätesoftwareentwicklung zu etablieren. Um die Wirksamkeit und Effizienz der modellbasierten Entw...
    Ingo Stürmer, Heiko Dörr, Holger Giese, ...
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    AAAI
    2006
    168views Intelligent Agents» more  AAAI 2006»
    The Robot Intelligence Kernel
    13 years 9 months ago
    The Robot Intelligence Kernel
    Download  www.aaai.org
    The Robot Intelligence Kernel (RIK) is a portable, reconfigurable suite of perceptual, behavioral, and cognitive capabilities that can be used across many different platforms, env...
    David J. Bruemmer, Douglas A. Few, Miles C. Walton...
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    AAAI
    2006
    199views Intelligent Agents» more  AAAI 2006»
    Decision Making in Uncertain Real-World Domains Using DT-Golog
    13 years 9 months ago
    Decision Making in Uncertain Real-World Domains Using DT-Golog
    Download  www.aaai.org
    DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
    Mikhail Soutchanski, Huy Pham, John Mylopoulos
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    DMIN
    2006
    124views Data Mining» more  DMIN 2006»
    Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
    13 years 9 months ago
    Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
    Download  ww1.ucmss.com
    Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
    Mouloud Amazouz, Radu Pantea
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