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    COLT
    2008
    Springer
    127views Machine Learning» more  COLT 2008»
    An Information Theoretic Framework for Multi-view Learning
    13 years 9 months ago
    An Information Theoretic Framework for Multi-view Learning
    Download  colt2008.cs.helsinki.fi
    In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
    Karthik Sridharan, Sham M. Kakade
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    NETWORKING
    2010
    178views Computer Networks» more  NETWORKING 2010»
    A Longitudinal Study of Small-Time Scaling Behavior of Internet Traffic
    13 years 9 months ago
    A Longitudinal Study of Small-Time Scaling Behavior of Internet Traffic
    Download  www.cse.iitd.ernet.in
    We carry out a longitudinal study of evolution of small-time scaling behavior of Internet traffic on the MAWI dataset spanning 8 years. MAWI dataset contains a number of anomalies ...
    Himanshu Gupta, Vinay J. Ribeiro, Anirban Mahanti
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    ICMLA
    2008
    145views Machine Learning» more  ICMLA 2008»
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    13 years 9 months ago
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    Download  www.cis.pku.edu.cn
    Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
    Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
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    LREC
    2008
    81views Education» more  LREC 2008»
    Speech Errors on Frequently Observed Homophones in French: Perceptual Evaluation vs Automatic Classification
    13 years 9 months ago
    Speech Errors on Frequently Observed Homophones in French: Perceptual Evaluation vs Automatic Classification
    Download  www.lrec-conf.org
    The present contribution aims at increasing our understanding of automatic speech recognition (ASR) errors involving frequent homophone or almost homophone words by confronting th...
    Rena Nemoto, Ioana Vasilescu, Martine Adda-Decker
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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    13 years 9 months ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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