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| 008 | 210519s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783030766405 | ||
| 024 | 7 |
_a10.1007/978-3-030-76640-5 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQ334 _b2021 EB |
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| 245 | 0 | 0 |
_aArtificial Intelligence and Machine Learning : _b32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers _cedited by Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (X, 203 páginas) _b73 ilustraciones, 51 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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_aCommunications in Computer and Information Science _x1865-0937 _v1398 |
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| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 505 | 0 | _aEvaluating the Robustness of Question-Answering Models to Paraphrased Questions -- FlipOut: Uncovering Redundant Weights via Sign Flipping -- Evolving Virtual Embodied Agents using External Artifact Evaluations -- Continuous Surrogate-based Optimization Algorithms are Well-suited for Expensive Discrete Problems -- Comparing Correction Methods to Reduce Misclassification Bias -- A Spiking Neuron Implementation of Genetic Algorithms for Optimization -- Solving Hofstadter's Analogies using Structural Information Theory -- A Semantic Tableau Method for Argument Construction -- `Thy algorithm shalt not bear false witness': An Evaluation of Multiclass Debiasing Methods on Word Embeddings -- An Intelligent Tree Planning Approach using Location-based Social Networks Data -- Gaining Insight into Determinants of Physical Activity using Bayesian Network Learning -- Swarm Construction Coordinated through the Building Material. | |
| 520 | 3 | _aChapter "Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _vCongresos y asambleas _9413115 |
|
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas |
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| 700 | 1 |
_aBaratchi, Mitra _eeditor literario |
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| 700 | 1 |
_aCao, Lu _eeditor literario |
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| 700 | 1 |
_aKosters, Walter A _eeditor literario |
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| 700 | 1 |
_aLijffijt, Jefrey _eeditor literario |
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| 700 | 1 |
_avan Rijn, Jan N _eeditor literario |
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| 700 | 1 |
_aTakes, Frank W _eeditor literario |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76640-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2022 _dz _eu _zSI |
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