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    ICALT
    2007
    IEEE
    116views Machine Learning» more  ICALT 2007»
    The Web 2.0 Driven SECI Model Based Learning Process
    14 years 4 months ago
    The Web 2.0 Driven SECI Model Based Learning Process
    Download  kmr.nada.kth.se
    Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...
    Mohamed Amine Chatti, Ralf Klamma, Matthias Jarke,...
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    BMVC
    2010
    219views Computer Vision» more  BMVC 2010»
    Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
    13 years 8 months ago
    Vision-Based Behavior Prediction in Urban Traffic Environments by Scene Categorization
    Download  bmvc10.dcs.aber.ac.uk
    We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
    Martin Heracles, Fernando Martinelli, Jannik Frits...
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    SBRN
    1998
    IEEE
    190views Neural Networks» more  SBRN 1998»
    Implementation of a Probabilistic Neural Network for Multi-spectral Image Classification on an FPGA based Custom Computing Machi
    14 years 2 months ago
    Implementation of a Probabilistic Neural Network for Multi-spectral Image Classification on an FPGA based Custom Computing Machi
    Download  fsweb.olin.edu
    As the demand for higher performance computers for the processing of remote sensing science algorithms increases, the need to investigate new computing paradigms is justified. Fie...
    Marco A. Figueiredo, Clay Gloster
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    ISSRE
    2007
    IEEE
    150views Software Engineering» more  ISSRE 2007»
    Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
    13 years 12 months ago
    Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
    Download  squall.sce.carleton.ca
    This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
    Erik Arisholm, Lionel C. Briand, Magnus Fuglerud
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    ACL
    2008
    168views Computational Linguistics» more  ACL 2008»
    Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation
    13 years 11 months ago
    Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation
    Download  www.aclweb.org
    In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
    Jakob Uszkoreit, Thorsten Brants
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