/**
* 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;
}
/**
* 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, "Andrew W. Moore");
result.setValue(
Field.TITLE,
"The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data");
result.setValue(Field.YEAR, "2000");
result.setValue(
Field.BOOKTITLE,
"UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence");
result.setValue(Field.PAGES, "397-405");
result.setValue(Field.PUBLISHER, "Morgan Kaufmann Publishers Inc.");
result.setValue(Field.ADDRESS, "San Francisco, CA, USA");
additional = result.add(Type.MASTERSTHESIS);
additional.setValue(Field.AUTHOR, "Ashraf Masood Kibriya");
additional.setValue(Field.TITLE, "Fast Algorithms for Nearest Neighbour Search");
additional.setValue(Field.YEAR, "2007");
additional.setValue(
Field.SCHOOL,
"Department of Computer Science, School of Computing and Mathematical Sciences, University of Waikato");
additional.setValue(Field.ADDRESS, "Hamilton, New Zealand");
return result;
}
/**
* 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
*/
@Override
public TechnicalInformation getTechnicalInformation() {
TechnicalInformation result;
TechnicalInformation additional;
result = new TechnicalInformation(Type.INPROCEEDINGS);
result.setValue(Field.AUTHOR, "Usama M. Fayyad and Keki B. Irani");
result.setValue(
Field.TITLE,
"Multi-interval discretization of continuousvalued attributes for classification learning");
result.setValue(
Field.BOOKTITLE, "Thirteenth International Joint Conference on Articial Intelligence");
result.setValue(Field.YEAR, "1993");
result.setValue(Field.VOLUME, "2");
result.setValue(Field.PAGES, "1022-1027");
result.setValue(Field.PUBLISHER, "Morgan Kaufmann Publishers");
additional = result.add(Type.INPROCEEDINGS);
additional.setValue(Field.AUTHOR, "Igor Kononenko");
additional.setValue(Field.TITLE, "On Biases in Estimating Multi-Valued Attributes");
additional.setValue(
Field.BOOKTITLE, "14th International Joint Conference on Articial Intelligence");
additional.setValue(Field.YEAR, "1995");
additional.setValue(Field.PAGES, "1034-1040");
additional.setValue(Field.PS, "http://ai.fri.uni-lj.si/papers/kononenko95-ijcai.ps.gz");
return result;
}
/**
* 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.PHDTHESIS);
result.setValue(Field.AUTHOR, "Wang, Y");
result.setValue(Field.YEAR, "2000");
result.setValue(
Field.TITLE, "A new approach to fitting linear models in high dimensional spaces");
result.setValue(Field.SCHOOL, "Department of Computer Science, University of Waikato");
result.setValue(Field.ADDRESS, "Hamilton, New Zealand");
additional = result.add(Type.INPROCEEDINGS);
additional.setValue(Field.AUTHOR, "Wang, Y. and Witten, I. H.");
additional.setValue(Field.YEAR, "2002");
additional.setValue(Field.TITLE, "Modeling for optimal probability prediction");
additional.setValue(
Field.BOOKTITLE,
"Proceedings of the Nineteenth International Conference in Machine Learning");
additional.setValue(Field.YEAR, "2002");
additional.setValue(Field.PAGES, "650-657");
additional.setValue(Field.ADDRESS, "Sydney, Australia");
return result;
}
/**
* 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, "S.K. Shevade and S.S. Keerthi and C. Bhattacharyya and K.R.K. Murthy");
result.setValue(Field.TITLE, "Improvements to the SMO Algorithm for SVM Regression");
result.setValue(Field.BOOKTITLE, "IEEE Transactions on Neural Networks");
result.setValue(Field.YEAR, "1999");
result.setValue(Field.PS, "http://guppy.mpe.nus.edu.sg/~mpessk/svm/ieee_smo_reg.ps.gz");
additional = result.add(Type.TECHREPORT);
additional.setValue(Field.AUTHOR, "A.J. Smola and B. Schoelkopf");
additional.setValue(Field.TITLE, "A tutorial on support vector regression");
additional.setValue(Field.NOTE, "NeuroCOLT2 Technical Report NC2-TR-1998-030");
additional.setValue(Field.YEAR, "1998");
return result;
}
/**
* 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;
}
/**
* 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.MISC);
result.setValue(Field.AUTHOR, "Wikipedia");
result.setValue(Field.YEAR, "2004");
result.setValue(Field.TITLE, "Discrete wavelet transform");
result.setValue(Field.HTTP, "http://en.wikipedia.org/wiki/Discrete_wavelet_transform");
additional = result.add(Type.MISC);
additional.setValue(Field.AUTHOR, "Kristian Sandberg");
additional.setValue(Field.YEAR, "2000");
additional.setValue(Field.TITLE, "The Haar wavelet transform");
additional.setValue(Field.INSTITUTION, "Dept. of Applied Mathematics");
additional.setValue(Field.ADDRESS, "University of Colorado at Boulder, USA");
additional.setValue(
Field.HTTP, "http://amath.colorado.edu/courses/5720/2000Spr/Labs/Haar/haar.html");
return result;
}
/**
* 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, "Martin Guetlein and Eibe Frank and Mark Hall and Andreas Karwath");
result.setValue(Field.YEAR, "2009");
result.setValue(Field.TITLE, "Large Scale Attribute Selection Using Wrappers");
result.setValue(
Field.BOOKTITLE, "Proc IEEE Symposium on Computational Intelligence and Data Mining");
result.setValue(Field.PAGES, "332-339");
result.setValue(Field.PUBLISHER, "IEEE");
additional = result.add(Type.MASTERSTHESIS);
additional.setValue(Field.AUTHOR, "Martin Guetlein");
additional.setValue(Field.YEAR, "2006");
additional.setValue(Field.TITLE, "Large Scale Attribute Selection Using Wrappers");
additional.setValue(Field.SCHOOL, "Albert-Ludwigs-Universitaet");
additional.setValue(Field.ADDRESS, "Freiburg, Germany");
return result;
}
/**
* 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.PROCEEDINGS);
result.setValue(Field.AUTHOR, "G.F. Cooper and E. Herskovits");
result.setValue(Field.YEAR, "1990");
result.setValue(
Field.TITLE, "A Bayesian method for constructing Bayesian belief networks from databases");
result.setValue(Field.BOOKTITLE, "Proceedings of the Conference on Uncertainty in AI");
result.setValue(Field.PAGES, "86-94");
additional = result.add(Type.ARTICLE);
additional.setValue(Field.AUTHOR, "G. Cooper and E. Herskovits");
additional.setValue(Field.YEAR, "1992");
additional.setValue(
Field.TITLE, "A Bayesian method for the induction of probabilistic networks from data");
additional.setValue(Field.JOURNAL, "Machine Learning");
additional.setValue(Field.VOLUME, "9");
additional.setValue(Field.NUMBER, "4");
additional.setValue(Field.PAGES, "309-347");
return result;
}
/**
* 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, "Joao Gama");
result.setValue(Field.TITLE, "Functional Trees");
result.setValue(Field.BOOKTITLE, "Machine Learning");
result.setValue(Field.YEAR, "2004");
result.setValue(Field.VOLUME, "55");
result.setValue(Field.PAGES, "219-250");
result.setValue(Field.NUMBER, "3");
additional = result.add(Type.ARTICLE);
additional.setValue(Field.AUTHOR, "Niels Landwehr and Mark Hall and Eibe Frank");
additional.setValue(Field.TITLE, "Logistic Model Trees");
additional.setValue(Field.BOOKTITLE, "Machine Learning");
additional.setValue(Field.YEAR, "2005");
additional.setValue(Field.VOLUME, "95");
additional.setValue(Field.PAGES, "161-205");
additional.setValue(Field.NUMBER, "1-2");
return result;
}