Del 1021 - Communications in Computer and Information Science

Artificial Intelligence

30th Benelux Conference, BNAIC 2018, ‘s-Hertogenbosch, The Netherlands, November 8–9, 2018, Revised Selected Papers

Häftad, Engelska, 2019

Av Martin Atzmueller, Wouter Duivesteijn

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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.

Produktinformation

Utgivningsdatum2019-09-25
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor167
FörlagSpringer Nature Switzerland AG
ISBN9783030319779

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it
Databaser inom Data och it

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.