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Artificial Intelligence and Machine Learning : 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers / edited by Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes

Contributor(s): Baratchi, Mitra, editor literario | Cao, Lu, editor literario | Kosters, Walter A, editor literario | Lijffijt, Jefrey, editor literario | van Rijn, Jan N, editor literario | Takes, Frank W, editor literario
Material type: materialTypeLabelE-bookSeries: (Communications in Computer and Information Science, 1865-0937 ; 1398); (Computer Science (SpringerNature-11645)); (Computer Science (R0) (SpringerNature-43710)).Publisher: Cham : Springer International Publising, 2021Edition: First edition 2021.Description: 1 recurso en línea (X, 203 páginas) : 73 ilustraciones, 51 ilustraciones a color.ISBN: 9783030766405.Subject: Inteligencia artificial -- Congresos y asambleas | Aprendizaje automático -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Evaluating 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.
Abstract: Chapter "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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q334 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.19122145
Total holds: 0

Evaluating 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.

Chapter "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.

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