Java 类weka.core.TechnicalInformation 实例源码

项目:weka-pyscript    文件:Utility.java   
public static TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result = new TechnicalInformation(Type.TECHREPORT);
    result.setValue(Field.AUTHOR, "Christopher Beckham, Mark Hall, Eibe Frank");
    result.setValue(Field.TITLE, "WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python");
    result.setValue(Field.JOURNAL, "Journal of Open Research Software");
    result.setValue(Field.URL, "http://openresearchsoftware.metajnl.com/articles/10.5334/jors.108/");
    result.setValue(Field.YEAR, "2016");
    return result;
}
项目:LibD3C-1.1    文件:LibD3C.java   
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result = new TechnicalInformation(
            TechnicalInformation.Type.ARTICLE);
    result.setValue(TechnicalInformation.Field.AUTHOR,
            "Chen Lin, Wenqiang Chen, Cheng Qiu, Yunfeng Wu, Sridhar Krishnan, Quan Zou");
    result.setValue(TechnicalInformation.Field.TITLE,
            "LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy");
    result.setValue(TechnicalInformation.Field.YEAR, "2013");
    result.setValue(TechnicalInformation.Field.JOURNAL, "Neurocomputing");
    result.setValue(TechnicalInformation.Field.VOLUME, "123");
    result.setValue(TechnicalInformation.Field.PAGES, " 424–435");

    return result;
}
项目:jbossBA    文件:GeneralizedSequentialPatterns.java   
/**
 * Returns TechnicalInformation about the paper related to the algorithm.
 * 
 * @return          the TechnicalInformation
 */
public TechnicalInformation getTechnicalInformation() { 
  TechnicalInformation paper = new TechnicalInformation(Type.PROCEEDINGS);

  paper.setValue(Field.AUTHOR, "Ramakrishnan Srikant and Rakesh Agrawal");
  paper.setValue(Field.TITLE, "Mining Sequential Patterns: Generalizations and Performance Improvements");
  paper.setValue(Field.BOOKTITLE, "Advances in Database Technology EDBT '96");
  paper.setValue(Field.YEAR, "1996");
  paper.setValue(Field.PUBLISHER, "Springer");

  return paper;
}
项目:jbossBA    文件:SMOTE.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
 */
public TechnicalInformation getTechnicalInformation() {
  TechnicalInformation result = new TechnicalInformation(Type.ARTICLE);

  result.setValue(Field.AUTHOR, "Nitesh V. Chawla et. al.");
  result.setValue(Field.TITLE, "Synthetic Minority Over-sampling Technique");
  result.setValue(Field.JOURNAL,
      "Journal of Artificial Intelligence Research");
  result.setValue(Field.YEAR, "2002");
  result.setValue(Field.VOLUME, "16");
  result.setValue(Field.PAGES, "321-357");

  return result;
}
项目:weka-pyscript    文件:PyScriptClassifier.java   
@Override
public TechnicalInformation getTechnicalInformation() {
    return Utility.getTechnicalInformation();
}
项目:weka-pyscript    文件:PyScriptFilter.java   
@Override
public TechnicalInformation getTechnicalInformation() {
    return Utility.getTechnicalInformation();
}
项目:Weka_AnalogicalModeling    文件:AnalogicalModeling.java   
/**
 * @return {@inheritDoc}
 * @see weka.core.TechnicalInformationHandler#getTechnicalInformation()
 */
@Override
public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation ti = new TechnicalInformation(TechnicalInformation.Type.BOOK, "skousen1989analogical");
    ti.setValue(TechnicalInformation.Field.TITLE, "Analogical Modeling of Language");
    ti.setValue(TechnicalInformation.Field.AUTHOR, "Skousen, R.");
    ti.setValue(TechnicalInformation.Field.ISBN13, "9780792305170");
    ti.setValue(TechnicalInformation.Field.YEAR, "1989");
    ti.setValue(TechnicalInformation.Field.PUBLISHER, "Kluwer Academic Publishers");
    ti.setValue(TechnicalInformation.Field.ABSTRACT,
                "Review: 'Skousen develops an analogical approach, which is claimed "
                + "to handle not merely cases which are problematic for tructuralist "
                + "approaches, but to be applicable equally to the cases with which "
                + "structuralism is at its best - in short, to be an Einstein to the "
                + "common Newton.This is altogether a stimulating and richly suggestive "
                + "book whose fundamental notions are presented with formal rigour. Other, "
                + "more psychologically adequate, formal analogical theories may be devised, "
                + "but Skousen has shown the way forward.' Artificial Intelligence and "
                + "Stimulation of Behaviour Quarterly, 1990, No. 72"
    );

    TechnicalInformation ti2 = new TechnicalInformation(Type.INBOOK, "skousen2002analogical");
    ti2.setValue(TechnicalInformation.Field.EDITOR, "Skousen, Royal and Lonsdale, Deryle and Parkinson, Dilworth");
    ti2.setValue(TechnicalInformation.Field.YEAR, "2002");
    ti2.setValue(TechnicalInformation.Field.PUBLISHER, "John Benjamins Publishing Company");
    ti2.setValue(TechnicalInformation.Field.TITLE, "Analogical modeling: an exemplar-based approach to language");
    ti2.setValue(TechnicalInformation.Field.AUTHOR, "Theron Stanford");
    ti2.setValue(
        TechnicalInformation.Field.ABSTRACT,
        "Analogical Modeling (AM) is an exemplar-based general theory of description "
        + "that uses both neighbors and non-neighbors (under certain well-defined conditions "
        + "of homogeneity) to predict language behavior. This book provides a basic "
        + "introduction to AM, compares the theory with nearest-neighbor approaches, and "
        + "discusses the most recent advances in the theory, including psycholinguistic "
        + "evidence, applications to specific languages, the problem of categorization, "
        + "and how AM relates to alternative approaches of language description (such as "
        + "instance families, neural nets, connectionism, and optimality theory). The book "
        + "closes with a thorough examination of the problem of the exponential explosion, "
        + "an inherent difficulty in AM (and in fact all theories of language description). "
        + "Quantum computing (based on quantum mechanics with its inherent simultaneity and "
        + "reversibility) provides a precise and natural solution to the exponential explosion "
        + "in AM. Finally, an extensive appendix provides three tutorials for running the AM "
        + "computer program (available online)."
    );
    ti2.setValue(TechnicalInformation.Field.PAGES, "385--409");
    ti2.setValue(TechnicalInformation.Field.ISBN13, "9789027223623");

    TechnicalInformation ti3 = new TechnicalInformation(Type.MISC, "wiki:AnalgocialModeling");
    ti3.setValue(TechnicalInformation.Field.AUTHOR, "Wikipedia");
    ti3.setValue(TechnicalInformation.Field.URL, "http://en.wikipedia.org/wiki/Analogical_modeling");
    ti3.setValue(TechnicalInformation.Field.NOTE, "[Online; accessed 15-June-2012]");
    ti3.setValue(TechnicalInformation.Field.YEAR, "2012");
    ti3.setValue(TechnicalInformation.Field.URL, "http://en.wikipedia.org/wiki/Analogical_modeling");
    ti.add(ti2);
    return ti;
}
项目:repo.kmeanspp.silhouette_score    文件:NaiveBayesUpdateable.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
 */
public TechnicalInformation getTechnicalInformation() {
  return super.getTechnicalInformation();
}
项目:autoweka    文件:NaiveBayesUpdateable.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
 */
public TechnicalInformation getTechnicalInformation() {
  return super.getTechnicalInformation();
}
项目:umple    文件:NaiveBayesUpdateable.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
 */
public TechnicalInformation getTechnicalInformation() {
  return super.getTechnicalInformation();
}
项目:jbossBA    文件:NaiveBayesUpdateable.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
 */
public TechnicalInformation getTechnicalInformation() {
  return super.getTechnicalInformation();
}