Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines

[1]  Giorgio Valentini,et al.  NEURObjects: an object-oriented library for neural network development , 2002, Neurocomputing.

[2]  Koby Crammer,et al.  On the Learnability and Design of Output Codes for Multiclass Problems , 2002, Machine Learning.

[3]  Jiri Matas,et al.  Face verification using error correcting output codes , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[4]  F. Masulli,et al.  Decompositive classification models for electronic noses , 2001 .

[5]  Giorgio Valentini,et al.  Quantitative evaluation of dependence among outputs in ECOC classifiers using mutual information based measures , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[6]  Nathan Intrator,et al.  Automatic model selection in a hybrid perceptron/radial network , 2001, Inf. Fusion.

[7]  Tin Kam Ho,et al.  Data Complexity Analysis for Classifier Combination , 2001, Multiple Classifier Systems.

[8]  Reza Ghaderi,et al.  Binary labelling and decision-level fusion , 2001, Inf. Fusion.

[9]  Reza Ghaderi,et al.  Circular ECOC. A theoretical and experimental analysis , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[10]  Giorgio Valentini,et al.  Comparing decomposition methods for classification , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

[11]  Giorgio Valentini,et al.  Parallel non-linear dichotomizers , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[12]  Y. Singer,et al.  Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers , 2000, J. Mach. Learn. Res..

[13]  Giorgio Valentini,et al.  Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems , 2000, Multiple Classifier Systems.

[14]  Thomas G. Dietterich.  Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.

[15]  Robert E. Schapire,et al.  A Brief Introduction to Boosting , 1999, IJCAI.

[16]  Venkatesan Guruswami,et al.  Multiclass learning, boosting, and error-correcting codes , 1999, COLT '99.

[17]  Thomas G. Dietterich.  Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.

[18]  Trevor Hastie,et al.  The Error Coding Method and PICTs , 1998 .

[19]  Robert E. Schapire,et al.  Using output codes to boost multiclass learning problems , 1997, ICML.

[20]  Yoav Freund,et al.  Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.

[21]  Eddy Mayoraz,et al.  On the Decomposition of Polychotomies into Dichotomies , 1997, ICML.

[22]  Sherif Hashem,et al.  Optimal Linear Combinations of Neural Networks , 1997, Neural Networks.

[23]  A Salomaa,et al.  In Coding Theory , 1996 .

[24]  L. Frank,et al.  Pretopological approach for supervised learning , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[25]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[26]  Yoav Freund,et al.  Experiments with a New Boosting Algorithm , 1996, ICML.

[27]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[28]  Robert A. Jacobs,et al.  Methods For Combining Experts' Probability Assessments , 1995, Neural Computation.

[29]  Thomas G. Dietterich,et al.  Error-Correcting Output Coding Corrects Bias and Variance , 1995, ICML.

[30]  Thomas G. Dietterich,et al.  Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..

[31]  L. Cooper,et al.  When Networks Disagree: Ensemble Methods for Hybrid Neural Networks , 1992 .

[32]  Thomas G. Dietterich,et al.  Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs , 1991, AAAI.

[33]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[34]  W. W. Peterson,et al.  Error-Correcting Codes. , 1962 .

[35]  R. C. Bose,et al.  On A Class of Error Correcting Binary Group Codes , 1960, Inf. Control..

[36]  Giorgio Valentini,et al.  Classification of human malignancies by machine learning methods using DNA microarray gene expression data , 2001 .

[37]  Ethem Alpaydin,et al.  Learning error-correcting output codes from data , 1999 .

[38]  Adam L. Berger,et al.  ERROR-CORRECTING OUTPUT CODING FOR TEXT CLASSIFICATION , 1999 .

[39]  Christopher J. Merz,et al.  UCI Repository of Machine Learning Databases , 1996 .

[40]  Kishan G. Mehrotra,et al.  Efficient classification for multiclass problems using modular neural networks , 1995, IEEE Trans. Neural Networks.

[41]  Terrence J. Sejnowski,et al.  Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..

[42]  Shu Lin,et al.  Error control coding : fundamentals and applications , 1983 .

[43]  J. Friedman,et al.  Multivariate generalizations of the Wald--Wolfowitz and Smirnov two-sample tests , 1979 .

[44]  Brian S. Everitt.  The analysis of contingency tables , 1977 .