Machine Learning in Bioinformatics (Wiley Series in Bioinformatics)

Machine Learning in Bioinformatics 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. Full description