<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462024000200607</article-id>
<article-id pub-id-type="doi">10.13053/cys-28-2-4211</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[On the Performance Assessment and Comparison of Features Selection Approaches]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Medjahed]]></surname>
<given-names><![CDATA[Seyyid Ahmed]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Boukhatem]]></surname>
<given-names><![CDATA[Fatima]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,University of Relizane  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Algeria</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,University Djillali Liabes  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Algeria</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2024</year>
</pub-date>
<volume>28</volume>
<numero>2</numero>
<fpage>607</fpage>
<lpage>622</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462024000200607&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462024000200607&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462024000200607&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: In many supervised learning problems, feature selection techniques are increasingly essential across various applications. Feature selection significantly influences the classification accuracy rate and the quality of SVM model by reducing the number of features, remove irrelevant and redundant features. In this paper, we evaluate the performance of twenty feature selection algorithms over four databases. The performance is conducted in term of: classification accuracy rate, Kuncheva&#8217;s Stability, Information Stability, SS Stability and SH Stability. To measure the feature selection algorithms, multiple datasets from the UCI Machine Learning Repository are utilized to assess both classification accuracy and stability variations.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Feature selection]]></kwd>
<kwd lng="en"><![CDATA[classification]]></kwd>
<kwd lng="en"><![CDATA[stability]]></kwd>
<kwd lng="en"><![CDATA[support vector machine]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Medjahed]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ouali]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Benyettou]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ait-Saaid]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An optimization-based framework for feature selection and parameters determination of SVMs]]></article-title>
<source><![CDATA[International Journal of Information Technology and Computer Science]]></source>
<year>2015</year>
<volume>7</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1-9</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guyon]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Elisseeff]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An introduction to variable and feature selection]]></article-title>
<source><![CDATA[International Journal of Machine Learning Research]]></source>
<year>2003</year>
<volume>3</volume>
<page-range>1157-82</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goswami]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Chakrabarti]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Feature Selection: A Practitioner View]]></article-title>
<source><![CDATA[International Journal of Information Technology and Computer Science]]></source>
<year>2014</year>
<volume>6</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>66</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[S. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[Z. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[S. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Tseng]]></surname>
<given-names><![CDATA[T. Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Parameter determination of support vector machine and feature selection using simulated annealing approach]]></article-title>
<source><![CDATA[Applied soft computing]]></source>
<year>2008</year>
<volume>8</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1505-12</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kittler]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Feature selection and extraction]]></source>
<year>1978</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Academic Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rendell]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Seshu]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Learning hard concepts through constructive induction: Framework and rationale]]></article-title>
<source><![CDATA[Computational Intelligence]]></source>
<year>1990</year>
<volume>6</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>247-70</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cortes]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Vapnik]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Support-vector networks]]></article-title>
<source><![CDATA[Machine learning]]></source>
<year>1995</year>
<volume>20</volume>
<page-range>273-97</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bartlett]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Shawe-Taylor]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generalization performance of support vector machines and other pattern classifiers]]></article-title>
<source><![CDATA[Advances in Kernel methods&#8212;support vector learning]]></source>
<year>1999</year>
<page-range>43-54</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Keerthi]]></surname>
<given-names><![CDATA[S. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Shevade]]></surname>
<given-names><![CDATA[S. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Bhattacharyya]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Murthy]]></surname>
<given-names><![CDATA[K. R. K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improvements to Platt&#8217;s SMO algorithm for SVM classifier design]]></article-title>
<source><![CDATA[Neural Computation]]></source>
<year>2001</year>
<volume>13</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>637-49</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Platt]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Schölkopf]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Burges]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Smola]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fast training of support vector machines using sequential minimal optimization]]></article-title>
<source><![CDATA[Advances in Kernel Methods -Support Vector Learning]]></source>
<year>1999</year>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Flake]]></surname>
<given-names><![CDATA[G. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Lawrence]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient SVM regression training with SMO]]></article-title>
<source><![CDATA[Machine learning]]></source>
<year>2002</year>
<volume>46</volume>
<page-range>271-90</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lewis]]></surname>
<given-names><![CDATA[D. D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Feature selection and feature extraction for text categorization]]></source>
<year>1992</year>
<conf-name><![CDATA[ Speech and Natural Language: Proceedings of a Workshop Held at Harriman]]></conf-name>
<conf-loc>New York </conf-loc>
<page-range>23-6</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fleuret]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fast binary feature selection with conditional mutual information]]></article-title>
<source><![CDATA[Journal of Machine Learning Research]]></source>
<year>2004</year>
<volume>5</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>1531-55</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[H. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Moody]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Data visualization and feature selection: New algorithms for non-gaussian data]]></article-title>
<source><![CDATA[Advances in Neural Information Processing Systems]]></source>
<year>1999</year>
<page-range>687-93</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meyer]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Bontempi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[On the use of variable complementarity for feature selection in cancer classification]]></source>
<year>2006</year>
<conf-name><![CDATA[ Evolutionary Computation and Machine Learning in Bioinformatics]]></conf-name>
<conf-loc> </conf-loc>
<page-range>91-102</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Conditional infomax learning: An integrated framework for feature extraction and fusion]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Leonardis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bischof]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Pinz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Computer Vision ECCV 2006]]></source>
<year>2006</year>
<volume>3951</volume>
<publisher-loc><![CDATA[Berlin ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jakulin]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Machine learning based on attribute interactions]]></source>
<year>2005</year>
<publisher-loc><![CDATA[Slovenia ]]></publisher-loc>
<publisher-name><![CDATA[University of Ljubljana]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Brown]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Pocock]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[M. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Luján]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Conditional likelihood maximization: a unifying framework for information theoretic feature selection]]></article-title>
<source><![CDATA[The Journal of Machine Learning Research]]></source>
<year>2012</year>
<volume>13</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>27-66</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Battiti]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using mutual information for selecting features in supervised neural net learning]]></article-title>
<source><![CDATA[IEEE Transactions on neural networks]]></source>
<year>1994</year>
<volume>5</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>537-50</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Peng]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Long]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ding]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Feature selection based on mutual information: Criteria of max dependency, max-relevance, and min-redundancy]]></article-title>
<source><![CDATA[IEEE Transactions on Pattern Analysis and Machine Intelligence]]></source>
<year>2005</year>
<volume>27</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>1226-38</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient feature selection via analysis of relevance and redundancy]]></article-title>
<source><![CDATA[Journal of Machine Learning Research]]></source>
<year>2004</year>
<volume>5</volume>
<page-range>1205-24</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Spectral feature selection for supervised and unsupervised learning]]></source>
<year>2007</year>
<conf-name><![CDATA[ 24th international conference on Machine learning]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1151-7</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[L. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Asymptotic conservativeness and efficiency of Kruskal-Wallis test for k dependent samples]]></article-title>
<source><![CDATA[Journal of the American Statistical Association]]></source>
<year>1981</year>
<volume>76</volume>
<numero>376</numero>
<issue>376</issue>
<page-range>1006-9</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Duda]]></surname>
<given-names><![CDATA[R. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Hart]]></surname>
<given-names><![CDATA[P. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Stork]]></surname>
<given-names><![CDATA[D. G.]]></given-names>
</name>
</person-group>
<source><![CDATA[Patter Classification]]></source>
<year>2001</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Jhon Wiley and Sons]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cover]]></surname>
<given-names><![CDATA[T. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Thomas]]></surname>
<given-names><![CDATA[J. A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Elements of Information Theory]]></source>
<year>1991</year>
<publisher-name><![CDATA[Wiley]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Fisher-Markov selector: fast selecting maximally separable feature subset for multiclass classification with applications to high-dimensional data]]></article-title>
<source><![CDATA[IEEE Transactions on Pattern Analysis and Machine Intelligence]]></source>
<year>2011</year>
<volume>33</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1217-33</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Morstatter]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Sharma]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Alelyani]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Anaud]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Advancing feature selection research]]></source>
<year>2010</year>
<publisher-name><![CDATA[Arizona State University]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Oh]]></surname>
<given-names><![CDATA[I. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[J. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Moon]]></surname>
<given-names><![CDATA[B. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hybrid genetic algorithms for feature selection]]></article-title>
<source><![CDATA[IEEE Transactions on Pattern Analysis and Machine Intelligence]]></source>
<year>2004</year>
<volume>26</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>1424-37</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kalousis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Prados]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hilario]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Stability of feature selection algorithms]]></source>
<year>2005</year>
<conf-name><![CDATA[ Fifth IEEE International Conference on Data Mining ICDM'05]]></conf-name>
<conf-loc> </conf-loc>
<page-range>8</page-range></nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dunne]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Cunningham]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Azuaje]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Solutions to instability problems with sequential wrapper-based approaches to feature selection]]></article-title>
<source><![CDATA[Journal of Machine Learning Research]]></source>
<year>2002</year>
<volume>1</volume>
<page-range>22</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kuncheva]]></surname>
<given-names><![CDATA[L. I.]]></given-names>
</name>
</person-group>
<source><![CDATA[A stability index for feature selection]]></source>
<year>2007</year>
<conf-name><![CDATA[ IASTED International Multi-Conference on Artificial Intelligence and Applications]]></conf-name>
<conf-loc> </conf-loc>
<page-range>390-5</page-range></nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient feature selection via analysis of relevance and redundancy]]></article-title>
<source><![CDATA[The Journal of Machine Learning Research]]></source>
<year>2004</year>
<volume>5</volume>
<page-range>1205-24</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Ding]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Loscalzo]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Stable feature selection via dense feature groups]]></source>
<year>2008</year>
<conf-name><![CDATA[ 14th ACM SIGKDD international conference on Knowledge discovery and data mining]]></conf-name>
<conf-loc> </conf-loc>
<page-range>803-11</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fonseca]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Fleming]]></surname>
<given-names><![CDATA[P. J.]]></given-names>
</name>
</person-group>
<source><![CDATA[On the performance assessment and comparison of stochastic multiobjective optimizers]]></source>
<year>1996</year>
<conf-name><![CDATA[ International conference on parallel problem solving from nature]]></conf-name>
<conf-loc>Berlin Heidelberg </conf-loc>
<page-range>584-93</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
