Di-codon Usage for Gene Classification
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Guided rule discovery in XCS for high-dimensional classification problems
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
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Machine learning techniques such as Markov models, support vector machines, neural networks, graphical models, etc., have been successful in analyzing life science data because of their capabilities of handling randomness and uncertainties of data and noise and in generalization. This book compiles recent approaches in machine learning, showing promise in addressing different complex bioinformatics applications from prominent researchers in the field.