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    BMCBI
    2008
    136views more  BMCBI 2008»
    A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
    14 years 9 months ago
    A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
    Download  www.biomedcentral.com
    Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
    Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
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    AUSDM
    2006
    Springer
    177views Data Mining» more  AUSDM 2006»
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    15 years 1 months ago
    On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
    Download  crpit.com
    The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
    Tatjana Eitrich, Bruno Lang
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    NN
    2006
    Springer
    146views Neural Networks» more  NN 2006»
    Comparison of relevance learning vector quantization with other metric adaptive classification methods
    14 years 9 months ago
    Comparison of relevance learning vector quantization with other metric adaptive classification methods
    Download  www2.in.tu-clausthal.de
    The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
    Thomas Villmann, Frank-Michael Schleif, Barbara Ha...
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    ICANN
    2007
    Springer
    92views Neural Networks» more  ICANN 2007»
    A Two-Layer ICA-Like Model Estimated by Score Matching
    15 years 3 months ago
    A Two-Layer ICA-Like Model Estimated by Score Matching
    Download  www.cs.helsinki.fi
    Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
    Urs Köster, Aapo Hyvärinen
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    14 years 9 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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