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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 8 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    Download  www.biomedcentral.com
    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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    BMCBI
    2008
    107views more  BMCBI 2008»
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
    13 years 8 months ago
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
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    Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
    Cong Zhou, Lucas D. Bowler, Jianfeng Feng
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    ISESE
    2006
    IEEE
    136views Software Engineering» more  ISESE 2006»
    Identifying domain-specific defect classes using inspections and change history
    14 years 2 months ago
    Identifying domain-specific defect classes using inspections and change history
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    We present an iterative, reading-based methodology for analyzing defects in source code when change history is available. Our bottom-up approach can be applied to build knowledge ...
    Taiga Nakamura, Lorin Hochstein, Victor R. Basili
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    ICML
    2000
    IEEE
    128views Machine Learning» more  ICML 2000»
    Mutual Information in Learning Feature Transformations
    14 years 1 months ago
    Mutual Information in Learning Feature Transformations
    Download  reference.kfupm.edu.sa
    We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...
    Kari Torkkola, William M. Campbell
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    ICANN
    2003
    Springer
    92views Neural Networks» more  ICANN 2003»
    Learning Rule Representations from Boolean Data
    14 years 1 months ago
    Learning Rule Representations from Boolean Data
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    We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
    Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...
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