Artificial Intelligence and Machine Learning : 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers
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
- First edition 2021
- 1 recurso en línea (X, 203 páginas) 73 ilustraciones, 51 ilustraciones a color
- Communications in Computer and Information Science 1398 1865-0937 Computer Science (SpringerNature-11645) Computer Science (R0) (SpringerNature-43710) .
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.
9783030766405
10.1007/978-3-030-76640-5 doi
Inteligencia artificial--Congresos y asambleas
Aprendizaje automático--Congresos y asambleas
Q334 / 2021 EB
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.
9783030766405
10.1007/978-3-030-76640-5 doi
Inteligencia artificial--Congresos y asambleas
Aprendizaje automático--Congresos y asambleas
Q334 / 2021 EB