Bernhard Mehlig
This modern and self-contained book offers a clear and ac...
Yao Ma, Jiliang Tang
This comprehensive text on the theory and techniques of g...
Frances Buontempo
Self-driving cars, natural language recognition, and onli...
Won-Kee Hong
This introduces artificial neural network-based Lagrange ...
Shuxin Ding, Chen Chen, Q...
This book analyzes how to set locations for the deploymen...
Deepak Sinwar, Kamalakanta...
The text comprehensively discusses computational models i...
Piet Van Mieghem
This concise and self-contained introduction builds up th...
Maria Deprez, Emma C. Rob...
Machine Learning for Biomedical Applications: With Scikit...
Siddhartha Bhattacharyya, ...
This book introduces the most recent research and innovat...
Deepshikha Agarwal, Khushb...
This reference text presents the usage of artificial inte...
Donghyeon Han, Hoi-Jun Yoo
Unlike most available sources that focus on deep neural n...
Yuanyuan Chen, Yi Zhang, ...
This comprehensive compendium designs deep neural network...
Arash Gharehbaghi
The concept of deep machine learning is easier to underst...
Charu C. Aggarwal
Chapters 6 and 7 present radial-basis function (RBF) netw...
Srinidhi Hiriyannaiah, Sid...
The text discusses various modalities of data and provide...
Sangita Roy, Rajat Subhra...
This reference text aims to systematically collect qualit...
Mohammad Rostami
Transfer Learning through Embedding Spaces provides a bri...
Stephen Lynch
This book was developed from a series of national and int...