Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Chaotic Feature Selection and Reconstruction in Time Series Prediction
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   Chapter 2 L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction
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   Chapter 3 SVD and Text Mining Integrated Approach to Measure Effects of Disasters on Japanese Economics
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   Chapter 4 Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting
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   Chapter 5 Neuron-Network Level Problem Decomposition Method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction
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   Chapter 6 Yet Another Schatten Norm for Tensor Recovery
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   Chapter 7 Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase Coding
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   Chapter 8 Combining Deep Learning and Preference Learning for Object Tracking
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    Chapter 9 A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data
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    Chapter 10 Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering
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    Chapter 11 Hyper-parameter Optimization of Sticky HDP-HMM Through an Enhanced Particle Swarm Optimization
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    Chapter 12 Approximate Inference Method for Dynamic Interactions in Larger Neural Populations
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    Chapter 13 Features Learning and Transformation Based on Deep Autoencoders
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    Chapter 14 t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom
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    Chapter 15 Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering
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    Chapter 16 Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization
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    Chapter 17 Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images
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    Chapter 18 Towards Ontology Reasoning for Topological Cluster Labeling
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    Chapter 19 Overlapping Community Detection Using Core Label Propagation and Belonging Function
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    Chapter 20 A New Clustering Algorithm for Dynamic Data
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    Chapter 21 Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections
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    Chapter 22 Optimal Constrained Neuro-Dynamic Programming Based Self-learning Battery Management in Microgrids
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    Chapter 23 Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget
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    Chapter 24 A Kernel-Based Sarsa( \(\lambda \) ) Algorithm with Clustering-Based Sample Sparsification
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    Chapter 25 Sparse Kernel-Based Least Squares Temporal Difference with Prioritized Sweeping
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    Chapter 26 Vietnamese POS Tagging for Social Media Text
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    Chapter 27 Scaled Conjugate Gradient Learning for Quaternion-Valued Neural Networks
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    Chapter 28 Performance of Qubit Neural Network in Chaotic Time Series Forecasting
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    Chapter 29 The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation
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    Chapter 30 A Preliminary Model for Understanding How Life Experiences Generate Human Emotions and Behavioural Responses
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    Chapter 31 Artificial Bee Colony Algorithm Based on Neighboring Information Learning
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    Chapter 32 Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems
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    Chapter 33 Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction
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    Chapter 34 SLA Management Framework to Avoid Violation in Cloud
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    Chapter 35 Pattern Retrieval by Quaternionic Associative Memory with Dual Connections
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    Chapter 36 A GPU Implementation of a Bat Algorithm Trained Neural Network
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    Chapter 37 Investigating a Dictionary-Based Non-negative Matrix Factorization in Superimposed Digits Classification Tasks
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    Chapter 38 A Swarm Intelligence Algorithm Inspired by Twitter
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    Chapter 39 Collaborative Filtering, Matrix Factorization and Population Based Search: The Nexus Unveiled
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    Chapter 40 Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification Learning
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    Chapter 41 Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation
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    Chapter 42 Effective and Efficient Multi-label Feature Selection Approaches via Modifying Hilbert-Schmidt Independence Criterion
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    Chapter 43 Storm Surge Prediction for Louisiana Coast Using Artificial Neural Networks
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    Chapter 44 Factorization of Multiple Tensors for Supervised Feature Extraction
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    Chapter 45 A Non-linear Label Compression Coding Method Based on Five-Layer Auto-Encoder for Multi-label Classification
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    Chapter 46 Fast Agglomerative Information Bottleneck Based Trajectory Clustering
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    Chapter 47 Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set
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    Chapter 48 Learning Class-Informed Semantic Similarity
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    Chapter 49 Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation
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    Chapter 50 Multilevel–Multigroup Analysis Using a Hierarchical Tensor SOM Network
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    Chapter 51 A Wavelet Deep Belief Network-Based Classifier for Medical Images
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    Chapter 52 Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea
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    Chapter 53 Credit Card Fraud Detection Using Convolutional Neural Networks
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    Chapter 54 An Efficient Data Extraction Framework for Mining Wireless Sensor Networks
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    Chapter 55 Incorporating Prior Knowledge into Context-Aware Recommendation
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    Chapter 56 Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature
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    Chapter 57 Selective Dropout for Deep Neural Networks
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    Chapter 58 Real-Time Action Recognition in Surveillance Videos Using ConvNets
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    Chapter 59 An Architecture Design Method of Deep Convolutional Neural Network
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    Chapter 60 Investigation of the Efficiency of Unsupervised Learning for Multi-task Classification in Convolutional Neural Network
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    Chapter 61 Sparse Auto-encoder with Smoothed \(l_1\) Regularization
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    Chapter 62 Encoding Multi-resolution Two-Stream CNNs for Action Recognition
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    Chapter 63 Improving Neural Network Generalization by Combining Parallel Circuits with Dropout
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    Chapter 64 Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density Networks
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    Chapter 65 Recurrent Neural Networks for Adaptive Feature Acquisition
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    Chapter 66 Stacked Robust Autoencoder for Classification
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    Chapter 67 Pedestrian Detection Using Deep Channel Features in Monocular Image Sequences
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    Chapter 68 Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection
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    Chapter 69 Fuzzy String Matching Using Sentence Embedding Algorithms
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    Chapter 70 Initializing Deep Learning Based on Latent Dirichlet Allocation for Document Classification