My Account Log in

1 option

Knowledge Management and Acquisition for Intelligent Systems : 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7-8, 2021, Proceedings / edited by Hiroshi Uehara, Takayasu Yamaguchi, Quan Bai.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Uehara, Hiroshi, Editor.
Yamaguchi, Takayasu, Editor.
Bai, Quan, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 12280
Lecture Notes in Artificial Intelligence ; 12280
Language:
English
Subjects (All):
Artificial intelligence.
Computer networks.
Computers.
Database management.
Information storage and retrieval systems.
Artificial Intelligence.
Computer Communication Networks.
Computing Milieux.
Database Management.
Information Storage and Retrieval.
Local Subjects:
Artificial Intelligence.
Computer Communication Networks.
Computing Milieux.
Database Management.
Information Storage and Retrieval.
Physical Description:
1 online resource (X, 187 pages) : 68 illustrations, 41 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 17th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2020, held in Yokohama, Japan, in January 2021. The 10 full papers and 5 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. PKAW primarily focuses on the multidisciplinary approach of the human-driven and data-driven knowledge acquisition, which is the key concept that has remained unchanged since the workshop has been established.
Contents:
Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks
Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
ERA: Extracting planning macro-operators from adjacent and non-adjacent sequences
Deep Neural Network Incorporating CNN and MF for Item-based Fashion Recommendation
C-LIME: A Consistency-oriented LIME for Time-series Health-Risk Predictions
Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction
Stabilizing the Predictive Performance for Ear Emergence in Rice Crops across Cropping Regions
Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem
Attributed Heterogeneous Network Embedding for Link Prediction
Automatic Generation and Classification of Malicious FQDN
Analyzing Temporal Change in LoRa Communication Quality Using Massive Measurement Data
Challenge Closed-Book Science Exam: A Meta-Learning Based Question Answering System
Identification of B2B Brand Components and their Performance's Relevance Using a Business Card Exchange Network
Semi-Automatic Construction of Sight Words Dictionary for Filipino Text Readability
Automated Concern Exploration in Pandemic Situations - COVID-19 as a Use Case.
Other Format:
Printed edition:
ISBN:
978-3-030-69886-7
9783030698867
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account