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Knowledge Management and Acquisition for Intelligent Systems: 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 2627, 2019, Proceedings 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 195 pages, height x width: 235x155 mm, weight: 454 g, 58 Illustrations, color; 46 Illustrations, black and white; X, 195 p. 104 illus., 58 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11669
  • Izdošanas datums: 22-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030306380
  • ISBN-13: 9783030306380
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  • Formāts: Paperback / softback, 195 pages, height x width: 235x155 mm, weight: 454 g, 58 Illustrations, color; 46 Illustrations, black and white; X, 195 p. 104 illus., 58 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11669
  • Izdošanas datums: 22-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030306380
  • ISBN-13: 9783030306380
Citas grāmatas par šo tēmu:
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 ?elds of intelligent systems/agents, natural language processing, and applications of machine learning techniques including Deep Learning to real world problems.

Estimating diculty 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 conict 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 Databases Performance Tuning based on
Reinforcement learning.- Prior-knowledge-embedded LDA with word2vec - for
detecting specic topics in documents.- Comparative Analysis of Intelligent
Personal Agent Performance.- Toxicity Prediction by Multimodal Deep
Learning.- Context-Aware Inuence Diusion 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.