Supervised learning (Machine learning)

Boosting : = foundations and algorithms / by: (Language materials, printed)

Supervised learning with complex-valued neural networks by: (Language materials, printed)

The elements of statistical learning = data mining, inference, and prediction / by: (Language materials, printed)

Graph-based semi-supervised learning by: (Language materials, printed)

Large scale hierarchical classification = state of the art / by: (Language materials, printed)

Supervised machine learning = optimization framework and applications with SAS and R / by: (Language materials, printed)

Fundamentals of supervised machine learning = with applications in Python, R, and Stata / by: (Language materials, printed)

Training data for machine learning : = human supervision from annotation to data science / by: (Language materials, printed)

Statistical Software.

Signal, Image and Speech Processing.

Boosting (Algorithms)

Neural networks (Computer science)

Machine learning.

Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Computational Biology/Bioinformatics.

Supervised learning (Machine learning)

Computer Appl. in Life Sciences.

SAS (Computer program language)

Statistical Theory and Methods.

Data Mining and Knowledge Discovery.

Program transformation (Computer programming)

Machine learning

Artificial Intelligence (incl. Robotics)

R (Computer program language)

Biostatistics.

Data mining.

Computational Intelligence.

Machine Learning.

Statistics in Business, Management, Economics, Finance, Insurance.

Engineering.

Statistical Learning.

Statistics.