[图书][B] Machine learning for spatial environmental data: theory, applications, and software

M Kanevski, V Timonin, A Pozdnukhov - 2009 - taylorfrancis.com
This book discusses machine learning algorithms, such as artificial neural networks of
different architectures, statistical learning theory, and Support Vector Machines used for the …
被引用次数：355 相关文章

[引用][C] Machine learning for spatial environmental data: theory, applications and software

M Kanevski, A Pozdnoukhov, V Timonin - (No Title) - cir.nii.ac.jp
Machine learning for spatial environmental data : theory, applications and software | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …

Machine learning for spatial environmental data: Theory, applications and software

M Kanevski, A Pozdnoukhov, V Timonin - Machine Learning for Spatial …, 2009 - elibrary.ru
This book discusses machine learning algorithms, such as artificial neural networks of
different architectures, statistical learning theory, and Support Vector Machines used for the …

[引用][C] Machine learning for spatial environmental data: theory, applications and software

M Kanevski, A Pozdnoukhov, V Timonin - 2009 - digital.library.tu.ac.th

[图书][B] Machine Learning for Spatial Environmental Data: Theory, Applications, and Software

M Kanevski, A Pozdnukhov, V Timonin - 2009 - books.google.com
" The book presents the state of the art in machine learning algorithms (artifical neural
networks of different architectures, support vector machines, etc.) applied to the classification …

[图书][B] Machine Learning for Spatial Environmental Data: Theory, Applications, and Software

M Kanevski, V Timonin, A Pozdnukhov - 2009 - books.google.com
This book discusses machine learning algorithms, such as artificial neural networks of
different architectures, statistical learning theory, and Support Vector Machines used for the …