PRICAI 2019: Trends in Artificial Intelligence

Table of Contents

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   Book Overview
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   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