
This Article  
 
Share  
Bibliographic References  
Add to:  
Digg Furl Spurl Blink Simpy Del.icio.us Y!MyWeb  
Search  
 
ASCII Text  x  
Raúl FidalgoMerino, Marlon Núñez, "SelfAdaptive Induction of Regression Trees," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 8, pp. 16591672, August, 2011.  
BibTex  x  
@article{ 10.1109/TPAMI.2011.19, author = {Raúl FidalgoMerino and Marlon Núñez}, title = {SelfAdaptive Induction of Regression Trees}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {33}, number = {8}, issn = {01628828}, year = {2011}, pages = {16591672}, doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.19}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Pattern Analysis and Machine Intelligence TI  SelfAdaptive Induction of Regression Trees IS  8 SN  01628828 SP1659 EP1672 EPD  16591672 A1  Raúl FidalgoMerino, A1  Marlon Núñez, PY  2011 KW  Machine learning KW  mining methods and algorithms KW  knowledge acquisition KW  heuristics design. VL  33 JA  IEEE Transactions on Pattern Analysis and Machine Intelligence ER   
[1] D.H. Widyantoro, T.R. Ioerger, and J. Yen, "An Adaptive Algorithm for Learning Changes in User Interests," Proc. Eighth Int'l Conf. Information and Knowledge Management, pp. 405412, 1999.
[2] W. Fan, "Systematic Data Selection to Mine ConceptDrifting Data Streams," Proc. ACM SIGKDD, pp. 128137, 2004.
[3] M. Núñez, R. Fidalgo, and R. Morales, "Learning in Environments with Unknown Dynamics: Towards More Robust Concept Learners," J. Machine Learning Research, vol. 8, pp. 25952628, 2007.
[4] P. Domingos and G. Hulten, "Mining HighSpeed Data Streams," Proc. Sixth ACM SIGKDD, pp. 7180, 2000.
[5] M.A. Maloof and R.S. Michalski, "Selecting Examples for Partial Memory Learning," Machine Learning, vol. 41, no. 1, pp. 2752, 2000.
[6] E. Ikonomovska and J. Gama, "Learning Model Trees from Data Streams," Proc. Int'l Conf. Discovery Science, J.F. Boulicaut, M.R. Berthold, and T. Horváth, eds., pp. 5263, 2008.
[7] E. Ikonomovska, J. Gama, R. SebastiÃo, and D. Gjorgjevik, "Regression Trees from Data Streams with Drift Detection," Proc. Int'l Conf. Discovery Science, pp. 121135, 2009.
[8] D. Potts and C. Sammut, "Incremental Learning of Linear Model Trees," Machine Learning, vol. 61, pp. 548, 2005.
[9] J.R. Quinlan, "Learning with Continuous Classes," Proc. Fifth Australian Joint Conf. Artificial Intelligence, pp. 307310, 1992.
[10] L. Breiman, J. Friedman, C.J. Stone, and R. Olsen, Classification and Regression Trees. Wadsworth Publishing Company, 1984.
[11] D. Aha, D. Kibler, and M. Albert, "InstanceBased Learning Algorithms," Machine Learning, vol. 6, pp. 3766, 1991.
[12] J.Z. Kolter and M.A. Maloof, "Using Additive Expert Ensembles to Cope with Concept Drift," Proc. 22nd Int'l Conf. Machine Learning, pp. 449456, 2005.
[13] F. Rosenthal, P.B. Volk, M. Hahmann, D. Habich, and W. Lehner, "DriftAware Ensemble Regression," Proc. Int'l Conf. Machine Learning and Data Mining, pp. 221235, 2009.
[14] G. Widmer and M. Kubat, "Learning in the Presence of Concept Drift and Hidden Contexts," Machine Learning, vol. 23, pp. 69101, 1996.
[15] M. Kubat and G. Widmer, "Adapting to Drift in Continuous Domains (Extended Abstract)," Proc. Eighth European Conf. Machine Learning, pp. 307310, 1995.
[16] G. Hulten, L. Spencer, and P. Domingos, "Mining TimeChanging Data Streams," Proc. Seventh ACM SIGKDD, pp. 97106, 2001.
[17] R. Klinkenberg and T. Joachims, "Detecting Concept Drift with Support Vector Machines," Proc. 17th Int'l Conf. Machine Learning, pp. 487494, 2000.
[18] R. Klinkenberg, "Learning Drifting Concepts: Example Selection versus Example Weighting," Intelligent Data Analysis, vol. 8, no. 3, pp. 281300, 2004.
[19] M. Núñez, R. Fidalgo, and R. Morales, "OnLine Learning of Decision Trees in Problems with Unknown Dynamics," Proc. Fourth Mexican Int'l Conf. Artificial Intelligence, pp. 443453, 2005.
[20] J.B. MacQueen, "Some Methods for Classification and Analysis of Multivariate Observations," Proc. Fifth Berkeley Symp. Math. Statistics and Probability, vol. 1, pp. 281297, 1967.
[21] J. Dougherty, R. Kohavi, and M. Sahami, "Supervised and Unsupervised Discretization of Continuous Features," Proc. 20th Int'l Conf. Machine Learning, pp. 194202, 1995.
[22] J.W. Tukey, Exploratory Data Analysis. AddisonWesley, 1977.
[23] J. Nagle, "On Packets Switches with Infinite Storage," IEEE Trans. Comm., vol. 35, no. 4, pp. 435438, Apr. 1987.
[24] J. Postel, "RFC793: TCP Specification," ARPANET WGRC, DDN Network Information Center, SRI Int'l, 1981.
[25] V. Paxson and M. Allman, "RFC2988: Computing TCPs Transmission Timer," Network WGRC, 2000.
[26] F. Esposito, D. Malerba, and G. Semeraro, "A Comparative Analysis of Methods for Pruning Decision Trees," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 5, pp. 476491, May 1997.
[27] J.R. Quinlan, "Induction of Decision Trees," Machine Learning, vol. 1, pp. 81106, 1986.
[28] W. Hoeffding, "Probability Inequalities for Sums of Bounded Random Variables," J. Am. Statistical Assoc., vol. 58, pp. 1330, 1963.
[29] I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, second ed. Morgan Kaufmann, 2005.
[30] M. Harries, C. Sammut, and K. Horn, "Extracting Hidden Context," Machine Learning, vol. 32, no. 2, pp. 101126, 1998.
[31] J. Gama, P. Medas, and P. Rodrigues, "Learning in Dynamic Environments: Decision Trees for Data Streams," Proc. Fourth Int'l Workshop Pattern Recognition in Information Systems, pp. 149158, 2004.
[32] A. Asuncion and D.J. Newman, "UCI Machine Learning Repository," http://www.ics.uci.edu/~mlearnMLRepository.html , 2007.
[33] C.E. Rasmussen, R.M. Neal, and G. Hinton, "DELVE Dataset Repository," Univ. of Toronto, http://www.cs.toronto.edu/delve/datadatasets.html , 2003.
[34] P. Vlachos, "StatLib Repository," Carnegie Mellon Univ., Dept. of Statistics, http://lib.stat.cmu.edudatasets/, 2007.
[35] T.G. Dietterich, "Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms," Neural Computation, vol. 10, no. 7, pp. 18951923, 1998.
[36] J. Demšar, "Statistical Comparisons of Classifiers over Multiple Data Sets," J. Machine Learning Research, vol. 7, pp. 130, 2006.