コード例 #1
0
ファイル: EuclideanDistance.java プロジェクト: ngphloc/zebra
  /**
   * 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;

    result = new TechnicalInformation(Type.MISC);
    result.setValue(Field.AUTHOR, "Wikipedia");
    result.setValue(Field.TITLE, "Euclidean distance");
    result.setValue(Field.URL, "http://en.wikipedia.org/wiki/Euclidean_distance");

    return result;
  }
コード例 #2
0
  /**
   * 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;

    result = new TechnicalInformation(Type.MISC);
    result.setValue(Field.AUTHOR, "Wikipedia");
    result.setValue(Field.TITLE, "Taxicab geometry");
    result.setValue(Field.URL, "http://en.wikipedia.org/wiki/Taxicab_geometry");

    return result;
  }
コード例 #3
0
ファイル: RegSMO.java プロジェクト: alishakiba/jDenetX
  /**
   * 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;

    result = new TechnicalInformation(Type.MISC);
    result.setValue(Field.AUTHOR, "A.J. Smola and B. Schoelkopf");
    result.setValue(Field.TITLE, "A tutorial on support vector regression");
    result.setValue(Field.NOTE, "NeuroCOLT2 Technical Report NC2-TR-1998-030");
    result.setValue(Field.YEAR, "1998");

    return result;
  }
コード例 #4
0
ファイル: PCC.java プロジェクト: nicoladimauro/meka
  @Override
  public TechnicalInformation getTechnicalInformation() {
    TechnicalInformation result;

    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "Krzysztof Dembczynsky and Weiwei Cheng and Eyke Hullermeier");
    result.setValue(
        Field.TITLE,
        "Bayes Optimal Multi-label Classification via Probabalistic Classifier Chains");
    result.setValue(Field.BOOKTITLE, "ICML '10: 27th International Conference on Machine Learning");
    result.setValue(Field.YEAR, "2010");

    return result;
  }
コード例 #5
0
ファイル: DecisionTable.java プロジェクト: alishakiba/jDenetX
  /**
   * 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;

    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "Ron Kohavi");
    result.setValue(Field.TITLE, "The Power of Decision Tables");
    result.setValue(Field.BOOKTITLE, "8th European Conference on Machine Learning");
    result.setValue(Field.YEAR, "1995");
    result.setValue(Field.PAGES, "174-189");
    result.setValue(Field.PUBLISHER, "Springer");

    return result;
  }
コード例 #6
0
ファイル: Id3.java プロジェクト: alishakiba/jDenetX
  /**
   * 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;

    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;
  }
コード例 #7
0
  /**
   * 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;
    TechnicalInformation additional;

    result = new TechnicalInformation(Type.ARTICLE);
    result.setValue(Field.AUTHOR, "R. Jensen, Q. Shen");
    result.setValue(Field.YEAR, "2009");
    result.setValue(
        Field.TITLE,
        "New Approaches to Fuzzy-rough Feature Selection. IEEE Transactions on Fuzzy Systems");
    result.setValue(Field.SCHOOL, "Aberystwyth University");
    result.setValue(Field.ADDRESS, "");

    additional = result.add(Type.INPROCEEDINGS);
    additional.setValue(Field.AUTHOR, "C. Cornelis, G. Hurtado Martin, R. Jensen and D. Slezak");
    additional.setValue(Field.TITLE, "Feature Selection with Fuzzy Decision Reducts");
    additional.setValue(
        Field.BOOKTITLE,
        "Third International Conference on Rough Sets and Knowledge Technology (RSKT'08)");
    additional.setValue(Field.YEAR, "2008");
    additional.setValue(Field.PAGES, "284-291");
    additional.setValue(Field.PUBLISHER, "Springer");

    additional = result.add(Type.INPROCEEDINGS);
    additional.setValue(Field.AUTHOR, "C. Cornelis and R. Jensen");
    additional.setValue(Field.TITLE, "A Noise-tolerant Approach to Fuzzy-Rough Feature Selection");
    additional.setValue(
        Field.BOOKTITLE, "17th International Conference on Fuzzy Systems (FUZZ-IEEE'08)");
    additional.setValue(Field.YEAR, "2008");
    additional.setValue(Field.PAGES, "1598-1605");
    additional.setValue(Field.PUBLISHER, "IEEE");

    return result;
  }
コード例 #8
0
ファイル: LWL.java プロジェクト: alishakiba/jDenetX
  /**
   * 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;
    TechnicalInformation additional;

    result = new TechnicalInformation(Type.INPROCEEDINGS);
    result.setValue(Field.AUTHOR, "Eibe Frank and Mark Hall and Bernhard Pfahringer");
    result.setValue(Field.YEAR, "2003");
    result.setValue(Field.TITLE, "Locally Weighted Naive Bayes");
    result.setValue(Field.BOOKTITLE, "19th Conference in Uncertainty in Artificial Intelligence");
    result.setValue(Field.PAGES, "249-256");
    result.setValue(Field.PUBLISHER, "Morgan Kaufmann");

    additional = result.add(Type.ARTICLE);
    additional.setValue(Field.AUTHOR, "C. Atkeson and A. Moore and S. Schaal");
    additional.setValue(Field.YEAR, "1996");
    additional.setValue(Field.TITLE, "Locally weighted learning");
    additional.setValue(Field.JOURNAL, "AI Review");

    return result;
  }