Artificial Intelligence 30th Benelux Conference, BNAIC 2018, 's-Hertogenbosch, The Netherlands, November 8-9, 2018, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Atzmueller, Martin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Duivesteijn, Wouter (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 1021
• Θέματα: Artificial intelligence.; Data mining.; Artificial Intelligence.; Data Mining and Knowledge Discovery.

 This book contains a selection of the best papers of the 30th Benelux Conference on Artificial Intelligence, BNAIC 2018, held in 's-Hertogenbosch, The Netherlands, in November 2018. The 9 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 31 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. 

 Early Detection of Sepsis Induced Deterioration Using Machine Learning -- Deriving Formulas for Integer Sequences Using Inductive Programming -- All or In-cloud: How the Identification of Six Types of Anomalies is Affected by the Discretization Method -- Topic Modeling for Exploring Cancer-Related Coverage in Journalistic Texts -- Model Selection for Multi-Directional Ensemble of Regression and Classification Trees -- Finding dissimilar explanations in Bayesian networks: Complexity results -- Beyond Local Nash Equilibria for Adversarial Networks -- Deep Multi-Agent Reinforcement Learning in a Homogeneous Open Population -- Computing and Predicting Winning Hands in the Trick-Taking Game of Klaverjas -- Style transfer of abstract drum patterns using a light-weight hierarchical autoencoder -- Assessing the Potential of Classical Q-learning in General Game Playing -- Visual Rationalizations in Deep Reinforcement Learning for Atari Games.