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    » Prediction on Spike Data Using Kernel Algorithms
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    WSC
    2008
    181views Modeling And Simulation» more  WSC 2008»
    Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
    13 years 10 months ago
    Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
    Download  www.informs-sim.org
    MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
    Liqing Di, Zhihua Xiong, XianHui Yang
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    KDD
    2004
    ACM
    181views Data Mining» more  KDD 2004»
    Column-generation boosting methods for mixture of kernels
    14 years 8 months ago
    Column-generation boosting methods for mixture of kernels
    Download  stat.rutgers.edu
    We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
    Jinbo Bi, Tong Zhang, Kristin P. Bennett
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    BMCBI
    2010
    125views more  BMCBI 2010»
    In-silico prediction of blood-secretory human proteins using a ranking algorithm
    13 years 7 months ago
    In-silico prediction of blood-secretory human proteins using a ranking algorithm
    Download  www.biomedcentral.com
    Background: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful inform...
    Qi Liu, Juan Cui, Qiang Yang, Ying Xu
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    IDEAL
    2005
    Springer
    124views Intelligent Agents» more  IDEAL 2005»
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
    14 years 1 months ago
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
    Download  poincare.matf.bg.ac.rs
    Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
    Ivana Bozic, Guanglan Zhang, Vladimir Brusic
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    GIS
    2008
    ACM
    133views Automated Reasoning» more  GIS 2008»
    Pedestrian flow prediction in extensive road networks using biased observational data
    14 years 8 months ago
    Pedestrian flow prediction in extensive road networks using biased observational data
    Download  geographicknowledge.de
    In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
    Michael May, Simon Scheider, Roberto Rösler, ...
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