Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Machine Learning
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Error-correcting output codes: a general method for improving multiclass inductive learning programs
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Pattern Recognition Letters
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Recursive ECOC (RECOC) classifiers, effectively deals with microarray data complexity by encoding multiclass labels with codewords taken from Low Density Parity Check (LDPC) codes. Not all good LDPC codes result in good microarray data RECOC classifiers. A general scoring method for the identification of promising LDPC codes in the RECOC sense is presented.