000 04396nam a22006015i 4500
001 978-3-319-90403-0
003 DE-He213
005 20210201191440.0
007 cr nn 008mamaa
008 180607s2018 gw | s |||| 0|eng d
020 _a9783319904030
_9978-3-319-90403-0
050 4 _aQA76.9.U83
050 4 _aQA76.9.H85
072 7 _aUYZG
_2bicssc
072 7 _aCOM070000
_2bisacsh
072 7 _aUYZG
_2thema
082 0 4 _a005.437
_223
082 0 4 _a4.019
_223
245 1 0 _aHuman and Machine Learning
_h[electronic resource] :
_bVisible, Explainable, Trustworthy and Transparent /
_cedited by Jianlong Zhou, Fang Chen.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXIII, 482 p. 140 illus., 114 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aHuman-Computer Interaction Series,
_x1571-5035
500 _aAcceso multiusuario
505 0 _aPart 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.
520 _aWith 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 also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aUser interfaces (Computer systems).
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 1 4 _aUser Interfaces and Human Computer Interaction.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18067
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aPattern Recognition.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
700 1 _aZhou, Jianlong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChen, Fang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319904023
776 0 8 _iPrinted edition:
_z9783319904047
776 0 8 _iPrinted edition:
_z9783030080075
830 0 _aHuman-Computer Interaction Series,
_x1571-5035
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-90403-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cLIBRO_ELEC
999 _c243624
_d243623