Emilio S. Corchado Rodriguez; Vaclav Snasel; Ajith Abraham; Michal Wozniak; Manuel Grana; Sung-Bae Cho Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Emilio S. Corchado Rodriguez; Vaclav Snasel; Ajit Abraham; Michal Wozniak; Manuel Grana; Sung-Bae Cho Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Huimin Lu (ed.); Michael Blumenstein (ed.); Sung-Bae Cho (ed.); Cheng-Lin Liu (ed.); Yasushi Yagi (ed.); Tohru (ed. Kamiya Springer (2023) Pehmeäkantinen kirja
Huimin Lu (ed.); Michael Blumenstein (ed.); Sung-Bae Cho (ed.); Cheng-Lin Liu (ed.); Yasushi Yagi (ed.); Tohru (ed. Kamiya Springer (2023) Pehmeäkantinen kirja
Huimin Lu (ed.); Michael Blumenstein (ed.); Sung-Bae Cho (ed.); Cheng-Lin Liu (ed.); Yasushi Yagi (ed.); Tohru (ed. Kamiya Springer (2023) Pehmeäkantinen kirja
This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools. This will become a single source of reference on conceptual, methodological, technical, and managerial issues, as well as provide insight into emerging trends and future opportunities in the discipline of ML. This book contains altogether 36 chapters in the area of ML and its applications.
