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    IADIS
    2008
    172views Internet Technology» more  IADIS 2008»
    Modelling Collaborative Competence Level Using Machine Learning Techniques
    13 years 11 months ago
    Modelling Collaborative Competence Level Using Machine Learning Techniques
    Download  bcds.udg.es
    Using open e-learning platforms as a tool to support the learning process has become an international tendency. Specially, in order to motivate the achievement of desired competen...
    Laura Mancera Valetts, Silvia Baldiris Navarro, Ra...
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    INTERSPEECH
    2010
    140views Signal Processing» more  INTERSPEECH 2010»
    Using dependency parsing and machine learning for factoid question answering on spoken documents
    13 years 4 months ago
    Using dependency parsing and machine learning for factoid question answering on spoken documents
    Download  www.lsi.upc.edu
    This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
    Pere Comas, Jordi Turmo, Lluís Màrqu...
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    TNN
    2010
    159views Management» more  TNN 2010»
    Multiple incremental decremental learning of support vector machines
    13 years 4 months ago
    Multiple incremental decremental learning of support vector machines
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    We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
    Masayuki Karasuyama, Ichiro Takeuchi
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    ESANN
    2008
    139views Neural Networks» more  ESANN 2008»
    A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
    13 years 11 months ago
    A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
    Download  www.dice.ucl.ac.be
    This paper proposes a methodology named OP-ELM, based on a recent development
    Yoan Miche, Patrick Bas, Christian Jutten, Olli Si...
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    TON
    2010
    167views more  TON 2010»
    A Machine Learning Approach to TCP Throughput Prediction
    13 years 4 months ago
    A Machine Learning Approach to TCP Throughput Prediction
    Download  pages.cs.wisc.edu
    TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
    Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
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