Artificial Intelligence : 30th Benelux Conference, BNAIC 2018, 's-Hertogenbosch, The Netherlands, November 8-9, 2018, Revised Selected Papers / edited by Martin Atzmueller, Wouter Duivesteijn.

Format:

Book

Contributor:

Atzmueller, Martin, editor.

Duivesteijn, Wouter, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Communications in computer and information science 1865-0929 ; 1021.

Communications in Computer and Information Science, 1865-0929 ; 1021

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (X, 167 pages) : 64 illustrations, 46 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-31978-6

9783030319786

9783030319779

9783030319793

Access Restriction:

Restricted for use by site license.