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    IDEAL
    2005
    Springer
    124views Intelligent Agents» more  IDEAL 2005»
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
    15 years 12 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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    ISNN
    2005
    Springer
    171views Neural Networks» more  ISNN 2005»
    Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
    15 years 12 months ago
    Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
    Download  ttic.uchicago.edu
    In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
    Liefeng Bo, Ling Wang, Licheng Jiao
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    ISNN
    2005
    Springer
    128views Neural Networks» more  ISNN 2005»
    A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
    15 years 12 months ago
    A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
    Download  www.comp.hkbu.edu.hk
    This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
    Hailin Liu, Yiu-ming Cheung
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    ISNN
    2005
    Springer
    132views Neural Networks» more  ISNN 2005»
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    15 years 12 months ago
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    Download  www.dcs.warwick.ac.uk
    Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
    Peter Williams, Sheng Li, Jianfeng Feng, Si Wu
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    IWANN
    2005
    Springer
    140views Neural Networks» more  IWANN 2005»
    Direct and Recursive Prediction of Time Series Using Mutual Information Selection
    15 years 12 months ago
    Direct and Recursive Prediction of Time Series Using Mutual Information Selection
    Download  www.cis.hut.fi
    Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...
    Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse
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