Knowledge Management and Acquisition for Intelligent Systems

16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26–27, 2019, Proceedings

AvKouzou Ohara,Quan Bai

Häftad, Engelska, 2019

Del 11669 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the proceedings of the 16th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2019, held in Cuvu, Fiji, in August 2019.The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 38 initial submissions.

Produktinformation

Utgivningsdatum:2019-08-22
Mått:155 x 235 x 12 mm
Vikt:324 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:195
Förlag:Springer Nature Switzerland AG
ISBN:9783030306380

Utforska kategorier

Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Estimating diﬃculty score of visual search in images for semi-supervised object detection.- Improving Named Entity Recognition with Commonsense Knowledge Pre-training.- Neurofeedback and AI for Analyzing Child Temperament and Attention Levels.- Finding Diachronic Objects of Drifting Descriptions by Similar Mentions.- A max-min conﬂict algorithm for the stable marriage problem.- Empirical Evaluation of Deep Learning-based Travel Time Prediction.- Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network.- Constructing Dataset Based on Concept Hierarchy for Evaluating Word Vectors Learned from Multisense Words.- Adaptive Database’s Performance Tuning based on Reinforcement learning.- Prior-knowledge-embedded LDA with word2vec - for detecting speciﬁc topics in documents.- Comparative Analysis of Intelligent Personal Agent Performance.- Toxicity Prediction by Multimodal Deep Learning.- Context-Aware Inﬂuence Diﬀusion in Online Social Networks.- Network Embedding via Self-Adjusting Random Walk.- Study on Influencers of Cryptocurrency Follow-network on GitHub.- A Cross-Domain Theory of Mental Models.