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PRICAI 2019: Trends in Artificial Intelligence

Overview of attention for book
Cover of 'PRICAI 2019: Trends in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Local Uncorrelated Subspace Learning
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    Chapter 2 DLENSO: A Deep Learning ENSO Forecasting Model
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    Chapter 3 Transfer Learning for Financial Time Series Forecasting
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    Chapter 5 Transfer Learning for Driving Pattern Recognition
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    Chapter 6 Towards Meta-learning of Deep Architectures for Efficient Domain Adaptation
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    Chapter 7 Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
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    Chapter 8 A Meta-Reinforcement Learning Approach to Optimize Parameters and Hyper-parameters Simultaneously
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    Chapter 9 Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions
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    Chapter 10 Toward Reciprocity-Aware Distributed Learning in Referral Networks
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    Chapter 12 Comparison of Embedded and Wrapper Approaches for Feature Selection in Support Vector Machines
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    Chapter 13 Sparse Ordinal Regression via Factorization Machines
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    Chapter 14 An Approach with Low Redundancy to Network Feature Selection Based on Multiple Order Proximity
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    Chapter 15 Distance Dependent Maximum Margin Dirichlet Process Mixture
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    Chapter 16 Dynamic Re-ranking with Deep Features Fusion for Person Re-identification
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    Chapter 18 Deep Learning for Intelligent Train Driving with Augmented BLSTM
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    Chapter 19 Writing to the Hopfield Memory via Training a Recurrent Network
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    Chapter 20 Towards Efficient Convolutional Neural Networks Through Low-Error Filter Saliency Estimation
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    Chapter 21 Momentum Acceleration of Quasi-Newton Training for Neural Networks
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    Chapter 22 Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks
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    Chapter 24 Neural Gray-Box Identification of Nonlinear Partial Differential Equations
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    Chapter 26 A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization
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    Chapter 27 Convex Hull Approximation of Nearly Optimal Lasso Solutions
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    Chapter 28 Optimized Sequence Prediction of Risk Data for Financial Institutions
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    Chapter 29 Exploiting Setup Time Constraints in Local Search for Flowshop Scheduling
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    Chapter 30 A Click Prediction Model Based on Residual Unit with Inception Module
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    Chapter 32 Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams
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    Chapter 33 BMF: Matrix Factorization of Large Scale Data Using Block Based Approach
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    Chapter 34 Pedestrian Trajectory Prediction Using a Social Pyramid
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    Chapter 36 Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices
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    Chapter 37 Social Cost Guarantees in Smart Route Guidance
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    Chapter 38 Router Node Placement in Wireless Mesh Networks for Emergency Rescue Scenarios
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    Chapter 39 MotionRFCN: Motion Segmentation Using Consecutive Dense Depth Maps
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    Chapter 40 SAF: Semantic Attention Fusion Mechanism for Pedestrian Detection
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    Chapter 41 Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication
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    Chapter 42 Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks
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    Chapter 43 Predicting Scientific Impact via Heterogeneous Academic Network Embedding
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    Chapter 45 Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining
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    Chapter 46 Short-Term Memory Variational Autoencoder for Collaborative Filtering
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    Chapter 47 On Facilitating Large-Scale Online Discussions
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    Chapter 48 A Label-Based Nature Heuristic Algorithm for Dynamic Community Detection
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    Chapter 50 Autoencoding Binary Classifiers for Supervised Anomaly Detection
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    Chapter 51 Contourlet Transform Based Seismic Signal Denoising via Multi-scale Information Distillation Network
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    Chapter 52 Network Embedding by Resource-Allocation for Link Prediction
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    Chapter 54 Network Alignment by Representation Learning on Structure and Attribute
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    Chapter 55 Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern
Attention for Chapter 7: Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
5 X users

Citations

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1 Dimensions

Readers on

mendeley
36 Mendeley
Summary X Dimensions citations
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Chapter title
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
Chapter number 7
Book title
PRICAI 2019: Trends in Artificial Intelligence
Published in
arXiv, August 2019
DOI 10.1007/978-3-030-29911-8_7
Book ISBNs
978-3-03-029910-1, 978-3-03-029911-8
Authors

Dongge Han, Wendelin Böhmer, Michael Wooldridge, Alex Rogers, Wendelin Boehmer

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Student > Master 6 17%
Student > Ph. D. Student 6 17%
Researcher 4 11%
Lecturer 1 3%
Other 2 6%
Unknown 11 31%
Readers by discipline Count As %
Computer Science 17 47%
Engineering 6 17%
Decision Sciences 1 3%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2019.
All research outputs
#15,812,651
of 24,099,692 outputs
Outputs from arXiv
#342,099
of 1,020,419 outputs
Outputs of similar age
#203,699
of 344,848 outputs
Outputs of similar age from arXiv
#10,392
of 27,958 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,848 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,958 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.

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