Artificial Intelligence and Machine Learning 32nd Benelux Conference BNAIC Benelearn 2020 Leiden The Netherlands November 19 20 2020 Revised in Computer and Information Science 1398 1st Edition by Mitra Baratchi; Lu Cao; Walter A. Kosters; Jefrey Lijffijt; Jan N. van Rijn; Frank W. Takes 303076639X 9783030766399

Artificial Intelligence and Machine Learning 32nd Benelux Conference BNAIC Benelearn 2020 Leiden The Netherlands November 19 20 2020 Revised in Computer and Information Science 1398 1st Edition Mitra Baratchi – Ebook Instant Download/Delivery ISBN(s): 9783030766399,303076639X

Product details:

• ISBN 10: 303076639X
• ISBN 13:  9783030766399
• Author: Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes

The 12 papers presented in this volume were carefully reviewed and selected from 41 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

Table contents:

1. Evaluating the Robustness of Question-Answering Models to Paraphrased Questions
2. FlipOut: Uncovering Redundant Weights via Sign Flipping
3. Evolving Virtual Embodied Agents Using External Artifact Evaluations
4. Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems
5. Comparing Correction Methods to Reduce Misclassification Bias
6. A Spiking Neuron Implementation of Genetic Algorithms for Optimization
7. Solving Hofstadter’s Analogies Using Structural Information Theory
8. A Semantic Tableau Method for Argument Construction
9. ‘Thy Algorithm Shalt Not Bear False Witness’: An Evaluation of Multiclass Debiasing Methods on Word Embeddings
10. An Intelligent Tree Planning Approach Using Location-Based Social Networks Data
11. Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning
12. Swarm Construction Coordinated Through the Building Material
13. Correction to: Gaining Insight into Determinants of Physical Activity Using

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