000 | 04396nam a22006015i 4500 | ||
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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 |
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050 | 4 | _aQA76.9.U83 | |
050 | 4 | _aQA76.9.H85 | |
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_aUYZG _2thema |
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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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. |
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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 | ||
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