| 000 | 04168nam a22005055i 4500 | ||
|---|---|---|---|
| 999 |
_c368222 _d368222 _x1 |
||
| 001 | 368222 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102121718.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220201s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030954673 | ||
| 024 | 7 |
_a10.1007/978-3-030-95467-3 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ325.5 _b2022 EB |
|
| 245 | 1 | 0 |
_aMachine Learning, Optimization, and Data Science : _b7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I _cedited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2022 |
|
| 300 |
_a1 recurso en línea (XXIV, 644 páginas) _b201 ilustraciones, 186 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aInformation Systems and Applications incl. Internet/Web and HCI _v13163 |
|
| 505 | 0 | _aDeep Learning -- Machine Learning -- Reinforcement Learning -- Neural Networks -- Deep Reinforcement Learning -- Optimization -- Global Optimization -- Multi-Objective Optimization -- Computational Optimization.-Data Science -- Big Data -- Data Analytics -- Artificial Intelligence. | |
| 520 | _aThis two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas |
|
| 700 | 1 |
_aNicosia, Giuseppe _eeditor literario _0(orcid)0000-0002-0650-3157 _1https://orcid.org/0000-0002-0650-3157 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aOjha, Varun _eeditor literario _0(orcid)0000-0002-9256-1192 _1https://orcid.org/0000-0002-9256-1192 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLa Malfa, Emanuele _eeditor literario _0(orcid)0000-0002-6254-0470 _1https://orcid.org/0000-0002-6254-0470 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLa Malfa, Gabriele _eeditor literario _0(orcid)0000-0002-1682-2063 _1https://orcid.org/0000-0002-1682-2063 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aJansen, Giorgio _eeditor literario _0(orcid)0000-0001-7320-4053 _1https://orcid.org/0000-0001-7320-4053 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPardalos, Panos M. _eeditor literario _0(orcid)0000-0001-9623-8053 _1https://orcid.org/0000-0001-9623-8053 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aGiuffrida, Giovanni _eeditor literario _0(orcid)0000-0001-5490-779X _1https://orcid.org/0000-0001-5490-779X _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aUmeton, Renato _eeditor literario _0(orcid)0000-0002-5561-6932 _1https://orcid.org/0000-0002-5561-6932 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030954666 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030954680 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95467-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
||
| 998 |
_b03/2022 _dz _eh _zSI |
||