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| 008 | 211014s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783030702960 | ||
| 024 | 7 |
_a10.1007/978-3-030-70296-0 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQ334 _b2021 EB |
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_aAdvances in Artificial Intelligence and Applied Cognitive Computing _bProceedings from ICAI'20 and ACC'20 _cedited by Hamid R. Arabnia, Ken Ferens, David de la Fuente, Elena B. Kozerenko, José Angel Olivas Varela, Fernando G. Tinetti. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (XXI, 1184 páginas) _b150 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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_aTransactions on Computational Science and Computational Intelligence _x2569-7080 |
|
| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 505 | 0 | _aIntroduction -- PART I: ICAI'20 -- Brain models, Brain mapping, Cognitive science -- Natural language processing -- Fuzzy logic and soft computing -- Social impact of AI -- Emerging technologies -- Statistical learning theory -- Unsupervised and Supervised Learning -- Multivariate analysis -- Hierarchical learning models -- Relational learning models -- Bayesian methods -- Meta learning -- Stochastic optimization -- Heuristic optimization techniques -- Neural networks and variations -- Reinforcement learning -- PART II: ACC 2020 -- Novel Computationally Intelligent algorithms -- Bio Inspired Cognitive Algorithms -- Improving Cognition in machine learning systems -- Modeling Human Brain processing systems -- Multimodal learning systems -- Autonomous learning systems -- Reinforced learning -- Conclusion. | |
| 520 | 3 | _aThe book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI'20) and The 4th International Conference on Applied Cognitive Computing (ACC'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI'20) and the 4th International Conference on Applied Cognitive Computing (ACC'20). | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
|
| 700 | 1 |
_aArabnia, Hamid R _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aFerens, Ken _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_ade la Fuente, David _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aKozerenko, Elena B _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aOlivas Varela, José Angel _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aTinetti, Fernando G _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030702953 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030702977 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030702984 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70296-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
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| 998 |
_b01/2022 _dz _eh _zSI |
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