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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
    101views Education» more  LREC 2008»
    The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
    13 years 9 months ago
    The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
    Download  www.lrec-conf.org
    This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages curren...
    Elena Cabrio, Milen Kouylekov, Bernardo Magnini, M...
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    LREC
    2008
    115views Education» more  LREC 2008»
    Evaluating Robustness Of A QA System Through A Corpus Of Real-Life Questions
    13 years 9 months ago
    Evaluating Robustness Of A QA System Through A Corpus Of Real-Life Questions
    Download  www.lrec-conf.org
    This paper presents the sequential evaluation of the question answering system SQuaLIA. This system is based on the same sequential process as most statistical question answering ...
    Laurianne Sitbon, Patrice Bellot, Philippe Blache
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    NIPS
    2008
    285views Information Technology» more  NIPS 2008»
    Natural Image Denoising with Convolutional Networks
    13 years 9 months ago
    Natural Image Denoising with Convolutional Networks
    Download  hebb.mit.edu
    We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
    Viren Jain, H. Sebastian Seung
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    MEDINFO
    2007
    132views Healthcare» more  MEDINFO 2007»
    Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
    13 years 9 months ago
    Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
    Download  www.cs.mtu.edu
    Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
    Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
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