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概要
書目資訊
主題
Supervised learning (Machine learning)
概要
作品:
8 作品在 6 項出版品 6 種語言
書目資訊
Boosting : = foundations and algorithms /
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(書目-語言資料,印刷品)
Supervised learning with complex-valued neural networks
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The elements of statistical learning = data mining, inference, and prediction /
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Graph-based semi-supervised learning
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Large scale hierarchical classification = state of the art /
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(書目-語言資料,印刷品)
Supervised machine learning = optimization framework and applications with SAS and R /
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Fundamentals of supervised machine learning = with applications in Python, R, and Stata /
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Training data for machine learning : = human supervision from annotation to data science /
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主題
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.
處理中
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