| 书目名称 | Human and Machine Learning | | 副标题 | Visible, Explainable | | 编辑 | Jianlong Zhou,Fang Chen | | 视频video | | | 概述 | Creates a systematic view of relations between human and machine learning from the perspectives of visualisation, explanation, trustworthiness and transparency.Explores human aspects in machine learni | | 丛书名称 | Human–Computer Interaction Series | | 图书封面 |  | | 描述 | .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 be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications...This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but al | | 出版日期 | Textbook 2018 | | 关键词 | Machine Learning; Human Factors; Visualization; Explanation; Transparency | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-90403-0 | | isbn_softcover | 978-3-030-08007-5 | | isbn_ebook | 978-3-319-90403-0Series ISSN 1571-5035 Series E-ISSN 2524-4477 | | issn_series | 1571-5035 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
The information of publication is updating
|
|
发表于 2025-3-21 18:08:46
