Dataset shift in machine learning

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Machine learning an algorithmic perspective by Marsland, Stephen

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Nonnegative matrix and tensor factorizations applications to exploratory multi-way data analysis and blind source separation

Kernel methods for remote sensing data analysis

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The elements of statistical learning data mining, inference, and prediction by Hastie, Trevor

The elements of statistical learning data mining, inference, and prediction by Hastie, Trevor

Advanced mapping of environmental data geostatistics, machine learning and Bayesian maximum entropy

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Data mining with decision trees theory and applications by Rokach, Lior

Introduction to machine learning and bioinformatics

Introduction to statistical relational learning

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