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    BMCBI
    2004
    114views more  BMCBI 2004»
    Profiled support vector machines for antisense oligonucleotide efficacy prediction
    13 years 9 months ago
    Profiled support vector machines for antisense oligonucleotide efficacy prediction
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    Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
    Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
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    BMCBI
    2006
    211views more  BMCBI 2006»
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
    13 years 10 months ago
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
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    Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
    Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
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    CSDA
    2007
    105views more  CSDA 2007»
    Model selection for support vector machines via uniform design
    13 years 10 months ago
    Model selection for support vector machines via uniform design
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    The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
    Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
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    ICIP
    2006
    IEEE
    123views Image Processing» more  ICIP 2006»
    Optimum Watermark Design by Vector Space Projections
    14 years 11 months ago
    Optimum Watermark Design by Vector Space Projections
    Download  www.ece.rochester.edu
    We introduce an optimum watermark embedding technique that satisfies common watermarking requirements such as visual fidelity, sufficient embedding rate, robustness against noise ...
    Oktay Altun, Gaurav Sharma, Mark F. Bocko
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    HT
    2009
    ACM
    113views Internet Technology» more  HT 2009»
    RichVSM: enRiched vector space models for folksonomies
    14 years 4 months ago
    RichVSM: enRiched vector space models for folksonomies
    Download  www.uni-koblenz.de
    Rabeeh Abbasi, Steffen Staab
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