000 | 03207nam a22005655i 4500 | ||
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001 | 978-3-319-94042-7 | ||
003 | DE-He213 | ||
005 | 20210201191315.0 | ||
007 | cr nn 008mamaa | ||
008 | 180927s2018 gw | s |||| 0|eng d | ||
020 |
_a9783319940427 _9978-3-319-94042-7 |
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050 | 4 | _aQ334-342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 4 |
_aThe NIPS '17 Competition: Building Intelligent Systems _h[electronic resource] / _cedited by Sergio Escalera, Markus Weimer. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
300 |
_aX, 287 p. 85 illus. _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 |
_aThe Springer Series on Challenges in Machine Learning, _x2520-131X |
|
500 | _aAcceso multiusuario | ||
520 | _aThis book summarizes the organized competitions held during the first NIPS competition track. It provides both theory and applications of hot topics in machine learning, such as adversarial learning, conversational intelligence, and deep reinforcement learning. Rigorous competition evaluation was based on the quality of data, problem interest and impact, promoting the design of new models, and a proper schedule and management procedure. This book contains the chapters from organizers on competition design and from top-ranked participants on their proposed solutions for the five accepted competitions: The Conversational Intelligence Challenge, Classifying Clinically Actionable Genetic Mutations, Learning to Run, Human-Computer Question Answering Competition, and Adversarial Attacks and Defenses. | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aOptical data processing. | |
650 | 0 | _aPattern recognition. | |
650 | 1 | 4 |
_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 |
650 | 2 | 4 |
_aImage Processing and Computer Vision. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22021 |
650 | 2 | 4 |
_aPattern Recognition. _0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X |
700 | 1 |
_aEscalera, Sergio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aWeimer, Markus. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319940410 |
776 | 0 | 8 |
_iPrinted edition: _z9783319940434 |
776 | 0 | 8 |
_iPrinted edition: _z9783030068677 |
830 | 0 |
_aThe Springer Series on Challenges in Machine Learning, _x2520-131X |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-94042-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cLIBRO_ELEC | ||
999 |
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