Knowledge Management and Acquisition for Intelligent Systems

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

Häftad, Engelska, 2019

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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. The papers cover advanced research work that contributes to the technical and theoretical aspects in the ﬁelds of intelligent systems/agents, natural language processing, and applications of machine learning techniques including Deep Learning to real world problems.

Produktinformation

Utgivningsdatum2019-08-22
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Artificial Intelligence
Antal sidor195
FörlagSpringer Nature Switzerland AG
ISBN9783030306380

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Tillämpad datateknik inom Data och it
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Artificiell intelligens inom Data och it

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.