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    IJCAI
    1997
    170views Artificial Intelligence» more  IJCAI 1997»
    Is Nonparametric Learning Practical in Very High Dimensional Spaces?
    13 years 8 months ago
    Is Nonparametric Learning Practical in Very High Dimensional Spaces?
    Download  www.cs.colorado.edu
    Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
    Gregory Z. Grudic, Peter D. Lawrence
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    BMCBI
    2011
    227views Artificial Intelligence» more  BMCBI 2011»
    To aggregate or not to aggregate high-dimensional classifiers
    12 years 11 months ago
    To aggregate or not to aggregate high-dimensional classifiers
    Download  www.biomedcentral.com
    Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
    Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
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    BMCBI
    2008
    219views more  BMCBI 2008»
    Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
    13 years 7 months ago
    Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
    Download  www.biomedcentral.com
    Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
    Guangtao Ge, G. William Wong
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    CIARP
    2006
    Springer
    181views Pattern Recognition» more  CIARP 2006»
    Oscillating Feature Subset Search Algorithm for Text Categorization
    13 years 11 months ago
    Oscillating Feature Subset Search Algorithm for Text Categorization
    Download  staff.utia.cas.cz
    Abstract. A major characteristic of text document categorization problems is the extremely high dimensionality of text data. In this paper we explore the usability of the Oscillati...
    Jana Novovicová, Petr Somol, Pavel Pudil
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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    13 years 9 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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