Changeset 4638:7b2a29b02199 in orange


Ignore:
Timestamp:
05/12/08 09:21:27 (6 years ago)
Author:
blaz <blaz.zupan@…>
Branch:
default
Convert:
cf48a8f02ba39ace05e42bfb97751a3ed577dea6
Message:

minor language editing

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1 edited

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  • orange/doc/reference/SupportVectorMachines.htm

    r3668 r4638  
    77<index name="classes+support vector machines"> 
    88 
    9 <p>SVM is a popular method for classification, regression and distribution estimation that can learn a problem in a higher dimensional space through the use of a kernel trick. 
    10 Orange interfaces the libsvm-8.1 library (Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines, 2001. Software available at <a href=http://www.csie.ntu.edu.tw/~cjlin/libsvm>http://www.csie.ntu.edu.tw/~cjlin/libsvm</a>) 
    11 witch supports: 
     9<p>Support vector machines (SVM) is a popular machine learning method 
     10with variants for classification, regression and distribution 
     11estimation that can learn a problem in a higher dimensional space 
     12through the use of a kernel trick. Integrated with Orange is a popular 
     13implementation by Chang and Lin, <a 
     14href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">libsvm</a>. Orange 
     15currently embeds version 8.1 of the library, which supports:</p> 
     16 
    1217<ul> 
    1318 <li>C support vector classification (C_SVC)</li> 
     
    1722 <li>NU support vector regression (NU_SVR)</li> 
    1823</ul> 
    19 Additionally you can use the following kernel functions: 
     24 
     25<p>The support for the following kernel functions is provided by 
     26libsvm library:</p> 
     27 
    2028<ul> 
    2129 <li>linear: u'*v</li> 
     
    2634</ul> 
    2735</p> 
     36 
    2837<h2>SVMLearner</h2> 
     38 
    2939<p><INDEX name="classes/SVMLearner">SVMLearner class constructs a <INDEX name="classes/SVMClassifier">SVMClassifier </p> 
    3040<p class=section >Attributes</p> 
     
    100110</xmp> 
    101111 
     112<hr> 
     113 
     114<H2>References</H2> 
     115 
     116<p>Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support 
     117vector machines, 2001. Software available at <a 
     118href=http://www.csie.ntu.edu.tw/~cjlin/libsvm>http://www.csie.ntu.edu.tw/~cjlin/libsvm</a></P> 
     119 
    102120</body></html> 
    103121 
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