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Artificial Intelligence and Machine Learning [electronic resource] : 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19–20, 2020, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1398Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: X, 203 p. 73 illus., 51 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030766405
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online 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.
In: Springer Nature eBookSummary: 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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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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