Fusion, propagation, and structuring in belief networks
Artificial Intelligence
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
Unveiling turbo codes: some results on parallel concatenated coding schemes
IEEE Transactions on Information Theory
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
The capacity of low-density parity-check codes under message-passing decoding
IEEE Transactions on Information Theory
Iterative decoding of compound codes by probability propagation in graphical models
IEEE Journal on Selected Areas in Communications
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A general framework for the design of error adaptive learning algorithms in multiple output domains based on Dietterich's ECOC approach, recursive error output correcting codes and iterative APP decoding methods is proposed. A particular class of these Recursive ECOC (RECOC) learning algorithms based on Low Density Parity Check is presented.