Supervised learning (Machine learning)

Training data for machine learning : = human supervision from annotation to data science / by: (書目-語言資料,印刷品)

Fundamentals of supervised machine learning = with applications in Python, R, and Stata / by: (書目-語言資料,印刷品)

Supervised machine learning = optimization framework and applications with SAS and R / by: (書目-語言資料,印刷品)

Boosting : = foundations and algorithms / by: (書目-語言資料,印刷品)

Supervised learning with complex-valued neural networks by: (書目-語言資料,印刷品)

The elements of statistical learning = data mining, inference, and prediction / by: (書目-語言資料,印刷品)

Graph-based semi-supervised learning by: (書目-語言資料,印刷品)

Large scale hierarchical classification = state of the art / by: (書目-語言資料,印刷品)

Boosting (Algorithms)

Machine learning.

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

Computer Appl. in Life Sciences.

SAS (Computer program language)

Artificial Intelligence (incl. Robotics)

R (Computer program language)

Computational Intelligence.

Engineering.

Statistical Learning.

Statistics.

Supervised learning (Machine learning)

Statistical Software.

Signal, Image and Speech Processing.

Neural networks (Computer science)

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

Program transformation (Computer programming)

Machine learning

Biostatistics.

Data mining.

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

Machine Learning.

Computational Biology/Bioinformatics.

Statistical Theory and Methods.

Data Mining and Knowledge Discovery.