Human and Machine Learning Visible, Explainable, Trustworthy and Transparent /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Zhou, Jianlong (Editor, http://id.loc.gov/vocabulary/relators/edt), Chen, Fang (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Human-Computer Interaction Series,
• Subjects: User interfaces (Computer systems).; Artificial intelligence.; Pattern recognition.; User Interfaces and Human Computer Interaction.; Artificial Intelligence.; Pattern Recognition.

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to...

Table of Contents:

• Part I Transparency in Machine Learning
• Part II Visual Explanation of Machine Learning Process
• Part III Algorithmic Explanation of Machine Learning Models
• Part IV User Cognitive Responses in ML-Based Decision Making
• Part V Human and Evaluation of Machine Learning
• Part VI Domain Knowledge in Transparent Machine Learning Applications.