Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation
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   Chapter 2 Adaptive $$L_p$$ $$(0<p<1)$$ Regularization: Oracle Property and Applications
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   Chapter 3 Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering
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   Chapter 4 Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space
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   Chapter 5 Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning
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   Chapter 6 Hybrid RVM Algorithm Based on the Prediction Variance
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   Chapter 7 Quality Control for Crowdsourced Multi-label Classification Using RAkEL
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   Chapter 8 A Self-adaptive Growing Method for Training Compact RBF Networks
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    Chapter 9 Incremental Extreme Learning Machine via Fast Random Search Method
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    Chapter 10 Learning of Phase-Amplitude-Type Complex-Valued Neural Networks with Application to Signal Coherence
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    Chapter 11 Application of Instruction-Based Behavior Explanation to a Reinforcement Learning Agent with Changing Policy
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    Chapter 12 Using Flexible Neural Trees to Seed Backpropagation
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    Chapter 13 Joint Neighborhood Subgraphs Link Prediction
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    Chapter 14 Multimodal Fusion with Global and Local Features for Text Classification
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    Chapter 15 Learning Deep Neural Network Based Kernel Functions for Small Sample Size Classification
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    Chapter 16 Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTM
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    Chapter 17 Binary Stochastic Representations for Large Multi-class Classification
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    Chapter 18 Solving the Local-Minimum Problem in Training Deep Learning Machines
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    Chapter 19 The Sample Selection Model Based on Improved Autoencoder for the Online Questionnaire Investigation
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    Chapter 20 Hybrid Collaborative Recommendation via Semi-AutoEncoder
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    Chapter 21 Time Series Classification with Deep Neural Networks Based on Hurst Exponent Analysis
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    Chapter 22 Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus
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    Chapter 23 Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local Search
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    Chapter 24 Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition
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    Chapter 25 GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps
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    Chapter 26 A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation
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    Chapter 27 Multi-view Label Space Dimension Reduction
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    Chapter 28 Large-Margin Supervised Hashing
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    Chapter 29 Three-Dimensional Surface Feature for Hyperspectral Imagery Classification
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    Chapter 30 Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM
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    Chapter 31 Robust Kernel Approximation for Classification
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    Chapter 32 A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering
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    Chapter 33 Multi-label Learning with Label-Specific Feature Selection
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    Chapter 34 Neural Networks for Efficient Nonlinear Online Clustering
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    Chapter 35 Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition
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    Chapter 36 A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence
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    Chapter 37 Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation
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    Chapter 38 Projected Kernel Recursive Least Squares Algorithm
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    Chapter 39 Resource Allocation and Optimization Based on Queuing Theory and BP Network
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    Chapter 40 Linear Dimensionality Reduction for Time Series
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    Chapter 41 An Effective Martin Kernel for Time Series Classification
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    Chapter 42 Text Classification Using Lifelong Machine Learning
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    Chapter 43 Wake-Sleep Variational Autoencoders for Language Modeling
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    Chapter 44 Educational and Non-educational Text Classification Based on Deep Gaussian Processes
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    Chapter 45 A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks
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    Chapter 46 Locality-Sensitive Term Weighting for Short Text Clustering
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    Chapter 47 A Comparison of Supervised Machine Learning Algorithms for Classification of Communications Network Traffic
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    Chapter 48 Emotion Classification from Electroencephalogram Using Fuzzy Support Vector Machine
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    Chapter 49 Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer’s Disease
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    Chapter 50 Multi-roles Graph Based Extractive Summarization
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    Chapter 51 Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring
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    Chapter 52 Incremental Self-Organizing Maps for Collaborative Clustering
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    Chapter 53 Efficient Neighborhood Covering Reduction with Submodular Function Optimization
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    Chapter 54 Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning
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    Chapter 55 Atomic Distance Kernel for Material Property Prediction
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    Chapter 56 Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor Industry
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    Chapter 57 Large Scale Image Classification Based on CNN and Parallel SVM
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    Chapter 58 Malware Detection Using Deep Transferred Generative Adversarial Networks
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    Chapter 59 A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection
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    Chapter 60 Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model
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    Chapter 61 Semi-supervised Coefficient-Based Distance Metric Learning
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    Chapter 62 Improving Hashing by Leveraging Multiple Layers of Deep Networks
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    Chapter 63 Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal Cortex
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    Chapter 64 Energy-Balanced Distributed Sparse Kernel Machine in Wireless Sensor Network
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    Chapter 65 A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model
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    Chapter 66 Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis
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    Chapter 67 Targets Detection Based on the Prejudging and Prediction Mechanism
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    Chapter 68 An Image Quality Evaluation Method Based on Joint Deep Learning
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    Chapter 69 Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network
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    Chapter 70 RBNet: A Deep Neural Network for Unified Road and Road Boundary Detection
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    Chapter 71 Semi-supervised Multi-label Linear Discriminant Analysis
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    Chapter 72 Field Support Vector Regression
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    Chapter 73 Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering
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    Chapter 74 Improve Deep Learning with Unsupervised Objective
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    Chapter 75 Adaptive Dynamic Programming for Direct Current Servo Motor
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    Chapter 76 An Event-Triggered Heuristic Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
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    Chapter 77 Implicit Incremental Natural Actor Critic
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    Chapter 78 Influence of the Chaotic Property on Reinforcement Learning Using a Chaotic Neural Network
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    Chapter 79 Average Reward Reinforcement Learning for Semi-Markov Decision Processes
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    Chapter 80 Neuro-control of Nonlinear Systems with Unknown Input Constraints
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    Chapter 81 Average Reward Optimization with Multiple Discounting Reinforcement Learners
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    Chapter 82 Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched Systems
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    Chapter 83 Large-Scale Bandit Approaches for Recommender Systems
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    Chapter 84 Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games
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    Chapter 85 Consensus Based Distributed Reinforcement Learning for Nonconvex Economic Power Dispatch in Microgrids
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    Chapter 86 FMR-GA – A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent
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    Chapter 87 Policy Gradient Reinforcement Learning for I/O Reordering on Storage Servers
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    Chapter 88 Profile-Based Ant Colony Optimization for Energy-Efficient Virtual Machine Placement
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    Chapter 89 An Iterative Model for Predicting Film Attendance
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    Chapter 90 Estimating VNF Resource Requirements Using Machine Learning Techniques
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    Chapter 91 Accelerating Core Decomposition in Large Temporal Networks Using GPUs
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    Chapter 92 Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model
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    Chapter 93 Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem
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    Chapter 94 A Small Scale Multi-Column Network for Aesthetic Classification Based on Multiple Attributes