Ignore:
Timestamp:
Aug 28, 2006, 3:03:54 PM (15 years ago)
Author:
Markus Ringnér
Message:

Fixed comments so they pass without some of the complaits from doxygen. Have not looked at the actual contents of comments

File:
1 edited

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  • trunk/c++_tools/classifier/Kernel_SEV.h

    r592 r597  
    1616  ///
    1717  ///   @brief Speed Efficient Kernel
    18   ///   Class taking care of the \f$NxN\f$ kernel matrix, where
    19   ///   \f$N\f$ is number of samples. Type of Kernel is defined by a
     18  ///   Class taking care of the \f$ NxN \f$ kernel matrix, where
     19  ///   \f$ N \f$ is number of samples. Type of Kernel is defined by a
    2020  ///   KernelFunction. This Speed Efficient Version (SEV) calculated
    2121  ///   the kernel matrix once by construction and the kernel is stored in
    22   ///   memory. When \f$N\f$ is large and the kernel matrix cannot be
     22  ///   memory. When \f$ N \f$ is large and the kernel matrix cannot be
    2323  ///   stored in memory, use Kernel_MEV instead.
    2424  ///   
     
    5151    ///
    5252    /// Calculates the scalar product using the KernelFunction between
    53     /// data vector @a vec and column \f$i\f$ in data matrix.
     53    /// data vector @a vec and column \f$ i \f$ in data matrix.
    5454    ///
    5555    /// @return kernel element between data @a vec and training sample @a i
     
    5959    ///
    6060    /// Using the KernelFunction this function calculates the scalar
    61     /// product between vector @a vec and the column \f$ i\f$ in data
     61    /// product between vector @a vec and the column \f$ i \f$ in data
    6262    /// matrix. The KernelFunction expects a weight vector for each of
    6363    /// the two data vectors and as this Kernel is non-weighted each
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