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Knowledge Management and Acquisition for Intelligent Systems

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Cover of 'Knowledge Management and Acquisition for Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Estimating Difficulty Score of Visual Search in Images for Semi-supervised Object Detection
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    Chapter 2 Improving Named Entity Recognition with Commonsense Knowledge Pre-training
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    Chapter 3 Neurofeedback and AI for Analyzing Child Temperament and Attention Levels
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    Chapter 4 Finding Diachronic Objects of Drifting Descriptions by Similar Mentions
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    Chapter 5 A Max-Min Conflict Algorithm for the Stable Marriage Problem
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    Chapter 6 Empirical Evaluation of Deep Learning-Based Travel Time Prediction
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    Chapter 7 Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network
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    Chapter 8 Constructing Dataset Based on Concept Hierarchy for Evaluating Word Vectors Learned from Multisense Words
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    Chapter 9 Adaptive Database’s Performance Tuning Based on Reinforcement Learning
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    Chapter 10 Prior-Knowledge-Embedded LDA with Word2vec – for Detecting Specific Topics in Documents
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    Chapter 11 Comparative Analysis of Intelligent Personal Agent Performance
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    Chapter 12 Toxicity Prediction by Multimodal Deep Learning
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    Chapter 13 Context-Aware Influence Diffusion in Online Social Networks
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    Chapter 14 Network Embedding via Link Strength Adjusted Random Walk
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    Chapter 15 Study on Influencers of Cryptocurrency Follow-Network on GitHub
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    Chapter 16 A Cross-Domain Theory of Mental Models
Attention for Chapter 3: Neurofeedback and AI for Analyzing Child Temperament and Attention Levels
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Chapter title
Neurofeedback and AI for Analyzing Child Temperament and Attention Levels
Chapter number 3
Book title
Knowledge Management and Acquisition for Intelligent Systems
Published by
Springer, Cham, August 2019
DOI 10.1007/978-3-030-30639-7_3
Book ISBNs
978-3-03-030638-0, 978-3-03-030639-7
Authors

Maria R. Lee, Anna Yu-Ju Yen, Lun Chang, Lee, Maria R., Yen, Anna Yu-Ju, Chang, Lun

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Student > Postgraduate 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 3 50%
Unknown 3 50%