04353nam 22005895 450 99646643170331620200701153229.03-030-30639-910.1007/978-3-030-30639-7(CKB)4100000009076257(DE-He213)978-3-030-30639-7(MiAaPQ)EBC5921098(PPN)255611668(EXLCZ)99410000000907625720190821d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierKnowledge Management and Acquisition for Intelligent Systems[electronic resource] 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26–27, 2019, Proceedings /edited by Kouzou Ohara, Quan Bai1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (X, 195 p. 104 illus., 58 illus. in color.) Lecture Notes in Artificial Intelligence ;116693-030-30638-0 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.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.Lecture Notes in Artificial Intelligence ;11669Artificial intelligenceComputersSoftware engineeringApplication softwareArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Software Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Computer Appl. in Social and Behavioral Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/I23028Artificial intelligence.Computers.Software engineering.Application software.Artificial Intelligence.Information Systems and Communication Service.Software Engineering/Programming and Operating Systems.Computer Appl. in Social and Behavioral Sciences.006.3Ohara Kouzouedthttp://id.loc.gov/vocabulary/relators/edtBai Quanedthttp://id.loc.gov/vocabulary/relators/edtBOOK996466431703316Knowledge Management and Acquisition for Intelligent Systems2105750UNISA