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    BMCBI
    2006
    72views more  BMCBI 2006»
    Selecting effective siRNA sequences by using radial basis function network and decision tree learning
    13 years 8 months ago
    Selecting effective siRNA sequences by using radial basis function network and decision tree learning
    Download  www.biomedcentral.com
    Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
    Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...
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    ACL
    2003
    83views Computational Linguistics» more  ACL 2003»
    Learning to Predict Pitch Accents and Prosodic Boundaries in Dutch
    13 years 9 months ago
    Learning to Predict Pitch Accents and Prosodic Boundaries in Dutch
    Download  acl.ldc.upenn.edu
    We train a decision tree inducer (CART) and a memory-based classifier (MBL) on predicting prosodic pitch accents and breaks in Dutch text, on the basis of shallow, easy-to-comput...
    Erwin Marsi, Martin Reynaert, Antal van den Bosch,...
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    BMCBI
    2008
    220views more  BMCBI 2008»
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    13 years 8 months ago
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    Download  www.biomedcentral.com
    Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
    Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
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    NCA
    2008
    IEEE
    145views Computer Networks» more  NCA 2008»
    The application of ridge polynomial neural network to multi-step ahead financial time series prediction
    13 years 8 months ago
    The application of ridge polynomial neural network to multi-step ahead financial time series prediction
    Download  www.cse.ust.hk
    Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
    Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi...
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    ISMB
    1993
    110views Computational Biology» more  ISMB 1993»
    Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
    13 years 9 months ago
    Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
    Download  www.aaai.org
    Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
    Kevin J. Cherkauer, Jude W. Shavlik
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