Author ' s personal copy Relabeling algorithm for retrieval of noisy instances and improving prediction quality
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[1] D. Kibler,et al. Instance-based learning algorithms , 2004, Machine Learning.
[2] Andrew Kusiak,et al. Patient-recognition data-mining model for BCG-plus interferon immunotherapy bladder cancer treatment , 2006, Comput. Biol. Medicine.
[3] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[4] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[5] Natsuki Oka,et al. Learning regular and irregular examples separately , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).
[6] M. O'Donnell,et al. BCG immunotherapy of bladder cancer: 20 years on , 1999, The Lancet.
[7] W. N. Street,et al. Xcyt: a System for Remote Cytological Diagnosis and Prognosis of Breast Cancer , 2000 .
[8] P. Wingo,et al. Cancer statistics, 1997 , 1997, CA: a cancer journal for clinicians.
[9] Lloyd A. Smith,et al. Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper , 1999, FLAIRS.
[10] John Holland,et al. Adaptation in Natural and Artificial Sys-tems: An Introductory Analysis with Applications to Biology , 1975 .
[11] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[12] N. Dubrawsky. Cancer statistics , 1989, CA: a cancer journal for clinicians.
[13] María José del Jesús,et al. Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods , 1998, Int. J. Intell. Syst..
[14] Tony R. Martinez,et al. Instance Pruning Techniques , 1997, ICML.
[15] JOHANNES FÜRNKRANZ,et al. Separate-and-Conquer Rule Learning , 1999, Artificial Intelligence Review.
[16] LallichStéphane,et al. Identifying and Handling Mislabelled Instances , 2004 .
[17] Alexander Gammerman,et al. Prediction algorithms and confidence measures based on algorithmic randomness theory , 2002, Theor. Comput. Sci..
[18] Ian Witten,et al. Data Mining , 2000 .
[19] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[20] F. Herrera,et al. Genetic learning of fuzzy rule‐based classification systems cooperating with fuzzy reasoning methods , 1998 .
[21] Amir F. Atiya,et al. A penalized likelihood based pattern classification algorithm , 2009, Pattern Recognit..
[22] S. Chakraborty. Bayesian semi-supervised learning with support vector machine , 2011 .
[23] José Miguel Mantas,et al. A procedure for improving generalization in classification trees , 2002, Neurocomputing.
[24] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[25] Hussein Almuallim,et al. An Efficient Algorithm for Optimal Pruning of Decision Trees , 1996, Artif. Intell..
[26] Richard S. Johannes,et al. Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus , 1988 .
[27] Carla E. Brodley,et al. Identifying Mislabeled Training Data , 1999, J. Artif. Intell. Res..
[28] Martin Steffen,et al. Author ' s personal copy ARTICLE IN PRESS , 2009 .
[29] Juan Luis Castro,et al. SEPARATE: a machine learning method based on semi-global partitions , 2000, IEEE Trans. Neural Networks Learn. Syst..
[30] Dennis L. Wilson,et al. Asymptotic Properties of Nearest Neighbor Rules Using Edited Data , 1972, IEEE Trans. Syst. Man Cybern..
[31] Fabrice Muhlenbach,et al. Improving Classification by Removing or Relabeling Mislabeled Instances , 2002, ISMIS.
[32] Xindong Wu,et al. Eliminating Class Noise in Large Datasets , 2003, ICML.
[33] Taylor Murray,et al. Cancer statistics, 1998 , 1998, CA: a cancer journal for clinicians.
[34] John Mingers,et al. An Empirical Comparison of Pruning Methods for Decision Tree Induction , 1989, Machine Learning.
[35] M. O'Donnell,et al. Interim results from a national multicenter phase II trial of combination bacillus Calmette-Guerin plus interferon alfa-2b for superficial bladder cancer. , 2004, The Journal of urology.
[36] Tony R. Martinez,et al. Combining cross-validation and confidence to measure fitness , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[37] Johannes Fürnkranz,et al. Pruning Algorithms for Rule Learning , 1997, Machine Learning.
[38] William F. Punch,et al. Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm , 2003, IEEE Trans. Syst. Man Cybern. Part B.