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    FLAIRS
    2006
    135views Artificial Intelligence» more  FLAIRS 2006»
    Evaluating WordNet Features in Text Classification Models
    13 years 8 months ago
    Evaluating WordNet Features in Text Classification Models
    Download  www.aaai.org
    Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
    Trevor N. Mansuy, Robert J. Hilderman
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    BMCBI
    2010
    179views more  BMCBI 2010»
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    13 years 7 months ago
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    Download  www.biomedcentral.com
    Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
    Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
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    BMCBI
    2008
    142views more  BMCBI 2008»
    Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
    13 years 7 months ago
    Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
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    Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
    Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
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    MIR
    2010
    ACM
    207views Multimedia» more  MIR 2010»
    Learning to rank for content-based image retrieval
    13 years 5 months ago
    Learning to rank for content-based image retrieval
    Download  homepages.dcc.ufmg.br
    In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
    Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
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    BMCBI
    2007
    162views more  BMCBI 2007»
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
    13 years 7 months ago
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
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    Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
    Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
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