Artificial Intelligence and Machine Learning (eBook, PDF)

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

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 203
• Erscheinungstermin: 19. Mai 2021
• Englisch
• ISBN-13: 9783030766405
• Artikelnr.: 62293307

Inhaltsangabe

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-suitedfor 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.