Artificial Intelligence and Machine Learning
Description
The 11 papers presented in this volume were carefully reviewed and selected from 134 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.
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Content
Explainable Misinformation Detection from Text: A Critical Look.- Explaining Two Strange Learning Curves.- Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM!.- Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming.- A view on model misspecification in uncertainty quantification.- A Comparative Study of Sentence Embeddings for Unsupervised Extractive Multi-Document Summarization.- On-Device Deep Learning Location Category Inference Model.- Specificity and context dependent preferences in argumentation systems.- Model-Based Reinforcement Learning with State Abstraction: A Survey.- Symmetry and Dominance Breaking for Pseudo-Boolean Optimization.- Examining speaker and keyword uniqueness: Partitioning keyword spotting datasets for federated learning with the largest differencing method.
