Intelligence Science and Big Data Engineering. Big Data and Machine Learning

Table of Contents

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   Book Overview
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   Chapter 1 Analysis of WLAN’s Receiving Signal Strength Indication for Indoor Positioning
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   Chapter 2 Computational Decomposition of Style for Controllable and Enhanced Style Transfer
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   Chapter 3 Laplacian Welsch Regularization for Robust Semi-supervised Dictionary Learning
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   Chapter 4 Non-local MMDenseNet with Cross-Band Features for Audio Source Separation
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   Chapter 5 A New Method of Metaphor Recognition for A-is-B Model in Chinese Sentences
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   Chapter 6 Layerwise Recurrent Autoencoder for Real-World Traffic Flow Forecasting
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   Chapter 7 Mining Meta-association Rules for Different Types of Traffic Accidents
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   Chapter 8 Reliable Domain Adaptation with Classifiers Competition
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    Chapter 9 An End-to-End LSTM-MDN Network for Projectile Trajectory Prediction
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    Chapter 10 DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network
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    Chapter 11 Epileptic Seizure Prediction Based on Convolutional Recurrent Neural Network with Multi-Timescale
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    Chapter 12 L2R-QA: An Open-Domain Question Answering Framework
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    Chapter 13 Attention Relational Network for Few-Shot Learning
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    Chapter 14 Syntactic Analysis of Power Grid Emergency Pre-plans Based on Transfer Learning
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    Chapter 15 Improved CTC-Attention Based End-to-End Speech Recognition on Air Traffic Control
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    Chapter 16 Revisit Lmser from a Deep Learning Perspective
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    Chapter 17 A New Network Traffic Identification Base on Deep Factorization Machine
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    Chapter 18 3Q: A 3-Layer Semantic Analysis Model for Question Suite Reduction
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    Chapter 19 Data Augmentation for Deep Learning of Judgment Documents
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    Chapter 20 An Advanced Least Squares Twin Multi-class Classification Support Vector Machine for Few-Shot Classification
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    Chapter 21 LLN-SLAM: A Lightweight Learning Network Semantic SLAM
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    Chapter 22 Meta-cluster Based Consensus Clustering with Local Weighting and Random Walking
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    Chapter 23 Robust Nonnegative Matrix Factorization Based on Cosine Similarity Induced Metric
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    Chapter 24 Intellectual Property in Colombian Museums: An Application of Machine Learning
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    Chapter 25 Hybrid Matrix Factorization for Multi-view Clustering
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    Chapter 26 Car Sales Prediction Using Gated Recurrent Units Neural Networks with Reinforcement Learning
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    Chapter 27 A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification
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    Chapter 28 Stress Wave Tomography of Wood Internal Defects Based on Deep Learning and Contour Constraint Under Sparse Sampling
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    Chapter 29 Robustness of Network Controllability Against Cascading Failure
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    Chapter 30 Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia
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    Chapter 31 A Joint Bitrate and Buffer Control Scheme for Low-Latency Live Streaming
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    Chapter 32 Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples
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    Chapter 33 Accelerate Black-Box Attack with White-Box Prior Knowledge
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    Chapter 34 A Dynamic Model + BFR Algorithm for Streaming Data Sorting
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    Chapter 35 Smartphone Behavior Based Electronical Scale Validity Assessment Framework
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    Chapter 36 Discrimination Model of QAR High-Severity Events Using Machine Learning
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    Chapter 37 A New Method of Improving BERT for Text Classification