Example usage for weka.core TechnicalInformation setValue

List of usage examples for weka.core TechnicalInformation setValue

Introduction

In this page you can find the example usage for weka.core TechnicalInformation setValue.

Prototype

public void setValue(Field field, String value) 

Source Link

Document

sets the value for the given field, overwrites any previously existing one.

Usage

From source file:Bilbo.java

License:Open Source License

/**
 * Returns an instance of a TechnicalInformation object, containing 
 * detailed information about the technical background of this class,
 * e.g., paper reference or book this class is based on.
 * // w w  w . j a va 2 s.co  m
 * @return the technical information about this class
 */
@Override
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "Leo Breiman");
    result.setValue(Field.YEAR, "1996");
    result.setValue(Field.TITLE, "Bagging predictors");
    result.setValue(Field.JOURNAL, "Machine Learning");
    result.setValue(Field.VOLUME, "24");
    result.setValue(Field.NUMBER, "2");
    result.setValue(Field.PAGES, "123-140");

    return result;
}

From source file:BaggingImprove.java

/**
 * Returns an instance of a TechnicalInformation object, containing detailed
 * information about the technical background of this class, e.g., paper
 * reference or book this class is based on.
 *
 * @return the technical information about this class
 *///from w  w  w  .  j  a  v  a  2s .  c om
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(TechnicalInformation.Type.ARTICLE);
    result.setValue(TechnicalInformation.Field.AUTHOR, "Leo Breiman");
    result.setValue(TechnicalInformation.Field.YEAR, "1996");
    result.setValue(TechnicalInformation.Field.TITLE, "Bagging predictors");
    result.setValue(TechnicalInformation.Field.JOURNAL, "Machine Learning");
    result.setValue(TechnicalInformation.Field.VOLUME, "24");
    result.setValue(TechnicalInformation.Field.NUMBER, "2");
    result.setValue(TechnicalInformation.Field.PAGES, "123-140");

    return result;
}

From source file:MLKNNCS.java

License:Open Source License

@Override
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "Min-Ling Zhang and Zhi-Hua Zhou");
    result.setValue(Field.TITLE, "ML-KNN: A lazy learning approach to multi-label learning");
    result.setValue(Field.JOURNAL, "Pattern Recogn.");
    result.setValue(Field.VOLUME, "40");
    result.setValue(Field.NUMBER, "7");
    result.setValue(Field.YEAR, "2007");
    result.setValue(Field.ISSN, "0031-3203");
    result.setValue(Field.PAGES, "2038--2048");
    result.setValue(Field.PUBLISHER, "Elsevier Science Inc.");
    result.setValue(Field.ADDRESS, "New York, NY, USA");

    return result;
}

From source file:StemmerOverRide.java

License:Open Source License

/**
 * Returns an instance of a TechnicalInformation object, containing 
 * detailed information about the technical background of this class,
 * e.g., paper reference or book this class is based on.
 * // w  w  w .ja  v  a2s .c  o m
 * @return the technical information about this class
 */
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "Julie Beth Lovins");
    result.setValue(Field.YEAR, "1968");
    result.setValue(Field.TITLE, "Development of a stemming algorithm");
    result.setValue(Field.JOURNAL, "Mechanical Translation and Computational Linguistics");
    result.setValue(Field.VOLUME, "11");
    result.setValue(Field.PAGES, "22-31");

    return result;
}

From source file:WrapperSubset.java

License:Open Source License

/**
 * Returns an instance of a TechnicalInformation object, containing detailed
 * information about the technical background of this class, e.g., paper
 * reference or book this class is based on.
 *
 * @return the technical information about this class
 *///from www. jav  a2 s  . c om
@Override
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "Ron Kohavi and George H. John");
    result.setValue(Field.YEAR, "1997");
    result.setValue(Field.TITLE, "Wrappers for feature subset selection");
    result.setValue(Field.JOURNAL, "Artificial Intelligence");
    result.setValue(Field.VOLUME, "97");
    result.setValue(Field.NUMBER, "1-2");
    result.setValue(Field.PAGES, "273-324");
    result.setValue(Field.NOTE, "Special issue on relevance");
    result.setValue(Field.ISSN, "0004-3702");

    return result;
}

From source file:SMO.java

License:Open Source License

/**
 * Returns an instance of a TechnicalInformation object, containing 
 * detailed information about the technical background of this class,
 * e.g., paper reference or book this class is based on.
 * // ww  w  .  j a  va  2 s.c  o m
 * @return the technical information about this class
 */
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;
    TechnicalInformation additional;

    result = new TechnicalInformation(Type.INCOLLECTION);
    result.setValue(Field.AUTHOR, "J. Platt");
    result.setValue(Field.YEAR, "1998");
    result.setValue(Field.TITLE,
            "Fast Training of Support Vector Machines using Sequential Minimal Optimization");
    result.setValue(Field.BOOKTITLE, "Advances in Kernel Methods - Support Vector Learning");
    result.setValue(Field.EDITOR, "B. Schoelkopf and C. Burges and A. Smola");
    result.setValue(Field.PUBLISHER, "MIT Press");
    result.setValue(Field.URL, "http://research.microsoft.com/~jplatt/smo.html");
    result.setValue(Field.PDF, "http://research.microsoft.com/~jplatt/smo-book.pdf");
    result.setValue(Field.PS, "http://research.microsoft.com/~jplatt/smo-book.ps.gz");

    additional = result.add(Type.ARTICLE);
    additional.setValue(Field.AUTHOR, "S.S. Keerthi and S.K. Shevade and C. Bhattacharyya and K.R.K. Murthy");
    additional.setValue(Field.YEAR, "2001");
    additional.setValue(Field.TITLE, "Improvements to Platt's SMO Algorithm for SVM Classifier Design");
    additional.setValue(Field.JOURNAL, "Neural Computation");
    additional.setValue(Field.VOLUME, "13");
    additional.setValue(Field.NUMBER, "3");
    additional.setValue(Field.PAGES, "637-649");
    additional.setValue(Field.PS, "http://guppy.mpe.nus.edu.sg/~mpessk/svm/smo_mod_nc.ps.gz");

    additional = result.add(Type.INPROCEEDINGS);
    additional.setValue(Field.AUTHOR, "Trevor Hastie and Robert Tibshirani");
    additional.setValue(Field.YEAR, "1998");
    additional.setValue(Field.TITLE, "Classification by Pairwise Coupling");
    additional.setValue(Field.BOOKTITLE, "Advances in Neural Information Processing Systems");
    additional.setValue(Field.VOLUME, "10");
    additional.setValue(Field.PUBLISHER, "MIT Press");
    additional.setValue(Field.EDITOR, "Michael I. Jordan and Michael J. Kearns and Sara A. Solla");
    additional.setValue(Field.PS, "http://www-stat.stanford.edu/~hastie/Papers/2class.ps");

    return result;
}

From source file:adaptedClusteringAlgorithms.MyFarthestFirst.java

License:Open Source License

/**
 * Returns an instance of a TechnicalInformation object, containing 
 * detailed information about the technical background of this class,
 * e.g., paper reference or book this class is based on.
 * //from w  w w  .  j  av a  2  s. c  o  m
 * @return the technical information about this class
 */
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;
    TechnicalInformation additional;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "Hochbaum and Shmoys");
    result.setValue(Field.YEAR, "1985");
    result.setValue(Field.TITLE, "A best possible heuristic for the k-center problem");
    result.setValue(Field.JOURNAL, "Mathematics of Operations Research");
    result.setValue(Field.VOLUME, "10");
    result.setValue(Field.NUMBER, "2");
    result.setValue(Field.PAGES, "180-184");

    additional = result.add(Type.INPROCEEDINGS);
    additional.setValue(Field.AUTHOR, "Sanjoy Dasgupta");
    additional.setValue(Field.TITLE, "Performance Guarantees for Hierarchical Clustering");
    additional.setValue(Field.BOOKTITLE, "15th Annual Conference on Computational Learning Theory");
    additional.setValue(Field.YEAR, "2002");
    additional.setValue(Field.PAGES, "351-363");
    additional.setValue(Field.PUBLISHER, "Springer");

    return result;
}

From source file:ai.BalancedRandomForest.java

License:GNU General Public License

/**
 * Returns an instance of a TechnicalInformation object, containing 
 * detailed information about the technical background of this class,
 * e.g., paper reference or book this class is based on.
 * //from   w  w  w  .j a  v  a 2s. com
 * @return the technical information about this class
 */
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "Leo Breiman");
    result.setValue(Field.YEAR, "2001");
    result.setValue(Field.TITLE, "Random Forests");
    result.setValue(Field.JOURNAL, "Machine Learning");
    result.setValue(Field.VOLUME, "45");
    result.setValue(Field.NUMBER, "1");
    result.setValue(Field.PAGES, "5-32");

    return result;
}

From source file:cba.Apriori.java

License:Open Source License

/**
 * Returns an instance of a TechnicalInformation object, containing 
 * detailed information about the technical background of this class,
 * e.g., paper reference or book this class is based on.
 * //from   w w w  .j  av  a2 s . c o  m
 * @return the technical information about this class
 */
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;
    TechnicalInformation additional;

    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "R. Agrawal and R. Srikant");
    result.setValue(Field.TITLE, "Fast Algorithms for Mining Association Rules in Large Databases");
    result.setValue(Field.BOOKTITLE, "20th International Conference on Very Large Data Bases");
    result.setValue(Field.YEAR, "1994");
    result.setValue(Field.PAGES, "478-499");
    result.setValue(Field.PUBLISHER, "Morgan Kaufmann, Los Altos, CA");

    additional = result.add(Type.INPROCEEDINGS);
    additional.setValue(Field.AUTHOR, "Bing Liu and Wynne Hsu and Yiming Ma");
    additional.setValue(Field.TITLE, "Integrating Classification and Association Rule Mining");
    additional.setValue(Field.BOOKTITLE,
            "Fourth International Conference on Knowledge Discovery and Data Mining");
    additional.setValue(Field.YEAR, "1998");
    additional.setValue(Field.PAGES, "80-86");
    additional.setValue(Field.PUBLISHER, "AAAI Press");

    return result;
}

From source file:cerebro.Id3.java

License:Open Source License

/**
 * Returns an instance of a TechnicalInformation object, containing
 * detailed information about the technical background of this class,
 * e.g., paper reference or book this class is based on.
 *
 * @return the technical information about this class
 *//*from w  w  w. java 2s  . co  m*/
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "R. Quinlan");
    result.setValue(Field.YEAR, "1986");
    result.setValue(Field.TITLE, "Induction of decision trees");
    result.setValue(Field.JOURNAL, "Machine Learning");
    result.setValue(Field.VOLUME, "1");
    result.setValue(Field.NUMBER, "1");
    result.setValue(Field.PAGES, "81-106");

    return result;
}