E-Book, Englisch, Band 11016, 283 Seiten, eBook
Yoshida / Lee Knowledge Management and Acquisition for Intelligent Systems
Erscheinungsjahr 2018
ISBN: 978-3-319-97289-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
15th Pacific Rim Knowledge Acquisition Workshop, PKAW 2018, Nanjing, China, August 28-29, 2018, Proceedings
E-Book, Englisch, Band 11016, 283 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-319-97289-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Building a Commonsense Knowledge Base for a Collaborative Storytelling Agent.- A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns.- Incremental Acquisition of Values to deal with Cybersecurity Ethical Dilemmas.- Towards Realtime Adaptation: Uncovering User Models from Experimental Data.- Supporting Relevance Feedback with Concept Learning for Semantic Information Retrieval in Large OWL Knowledge Base.- Combining Concept Learning and Probabilistic Information Retrieval Model to Understand User's Searching Intent in OWL Knowledge Base.- Diabetic Retinopathy classi_cation using C4.5.- Stock price movement prediction from financial news with deep learning and knowledge graph embedding.- Sample Dropout for Audio Scene Classifiation Using Multi-Scale Dense Connected Convolutional Neural Network.- LOUGA: Learning Planning Operators using Genetic Algorithms.- k-NN Based Forecast of Short-Term Foreign Exchange Rates.- Multi-Dimensional Banded Pattern Mining.-Automated Business Process Discovery and Analysis for the International Higher Education Industry.- An Analysis of Interaction between Users and Open Government Data Portals in Data.- Acquisition Process.- Blockchain: Trends and Future.- Selective Comprehension for Referring Expression by Prebuilt Entity Dictionary with Modular Networks.- Pose Specification based Online Person Identification.- Get the whole action event by action stage classification.- Clothing Attribute Extraction Using Convolutional Neural Networks.