Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Emotion Prediction from User-Generated Videos by Emotion Wheel Guided Deep Learning
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   Chapter 2 Deep Q-Learning with Prioritized Sampling
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   Chapter 3 Deep Inverse Reinforcement Learning by Logistic Regression
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   Chapter 4 Parallel Learning for Combined Knowledge Acquisition Model
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   Chapter 5 Emergence of Higher Exploration in Reinforcement Learning Using a Chaotic Neural Network
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   Chapter 6 Establishing Mechanism of Warning for River Dust Event Based on an Artificial Neural Network
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   Chapter 7 Harvesting Multiple Resources for Software as a Service Offers: A Big Data Study
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   Chapter 8 Cloud Monitoring Data Challenges: A Systematic Review
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    Chapter 9 Locality-Sensitive Linear Bandit Model for Online Social Recommendation
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    Chapter 10 An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems
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    Chapter 11 Rhinal-Hippocampal Information Flow Reverses Between Memory Encoding and Retrieval
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    Chapter 12 Inferred Duality of Synaptic Connectivity in Local Cortical Circuit with Receptive Field Correlation
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    Chapter 13 Identifying Gifted Thinking Activities Through EEG Microstate Topology Analysis
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    Chapter 14 Representation of Local Figure-Ground by a Group of V4 Cells
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    Chapter 15 Dynamic MEMD Associated with Approximate Entropy in Patients’ Consciousness Evaluation
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    Chapter 16 Neural Dynamic Programming for Event-Based Nonlinear Adaptive Robust Stabilization
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    Chapter 17 Entropy Maximization of Occupancy Grid Map for Selecting Good Registration of SLAM Algorithms
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    Chapter 18 Analysis of an Intention-Response Model Inspired by Brain Nervous System for Cognitive Robot
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    Chapter 19 Dynamic Surface Sliding Mode Algorithm Based on Approximation for Three-Dimensional Trajectory Tracking Control of an AUV
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    Chapter 20 Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture
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    Chapter 21 Graceful Degradation Under Noise on Brain Inspired Robot Controllers
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    Chapter 22 Dynamics of Reservoir Computing at the Edge of Stability
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    Chapter 23 Hybrid Gravitational Search Algorithm with Swarm Intelligence for Object Tracking
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    Chapter 24 Photonic Reservoir Computing Based on Laser Dynamics with External Feedback
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    Chapter 25 FPGA Implementation of Autoencoders Having Shared Synapse Architecture
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    Chapter 26 Time-Domain Weighted-Sum Calculation for Ultimately Low Power VLSI Neural Networks
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    Chapter 27 A CMOS Unit Circuit Using Subthreshold Operation of MOSFETs for Chaotic Boltzmann Machines
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    Chapter 28 An Attempt of Speed-up of Neurocommunicator, an EEG-Based Communication Aid
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    Chapter 29 Computational Performance of Echo State Networks with Dynamic Synapses
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    Chapter 30 Whole Brain Architecture Approach Is a Feasible Way Toward an Artificial General Intelligence
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    Chapter 31 Learning Visually Guided Risk-Aware Reaching on a Robot Controlled by a GPU Spiking Neural Network
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    Chapter 32 Regularization Methods for the Restricted Bayesian Network BESOM
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    Chapter 33 Representation of Relations by Planes in Neural Network Language Model
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    Chapter 34 Modeling of Emotion as a Value Calculation System
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    Chapter 35 The Whole Brain Architecture Initiative
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    Chapter 36 Neural Network for Quantum Brain Dynamics: 4D CP \(^1\) +U(1) Gauge Theory on Lattice and Its Phase Structure
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    Chapter 37 BriCA: A Modular Software Platform for Whole Brain Architecture
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    Chapter 38 An Implementation of Working Memory Using Stacked Half Restricted Boltzmann Machine
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    Chapter 39 A Game-Engine-Based Learning Environment Framework for Artificial General Intelligence
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    Chapter 40 Modeling Attention-Induced Reduction of Spike Synchrony in the Visual Cortex
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    Chapter 41 A Robust TOA Source Localization Algorithm Based on LPNN
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    Chapter 42 Reward-Based Learning of a Memory-Required Task Based on the Internal Dynamics of a Chaotic Neural Network
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    Chapter 43 Roles of Gap Junctions in Organizing Traveling Waves in a Hippocampal CA3 Network Model
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    Chapter 44 Towards Robustness to Fluctuated Perceptual Patterns by a Deterministic Predictive Coding Model in a Task of Imitative Synchronization with Human Movement Patterns
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    Chapter 45 Image Segmentation Using Graph Cuts Based on Maximum-Flow Neural Network
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    Chapter 46 Joint Routing and Bitrate Adjustment for DASH Video via Neuro-Dynamic Programming in SDN
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    Chapter 47 Stability of Periodic Orbits in Dynamic Binary Neural Networks with Ternary Connection
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    Chapter 48 Evaluation of Chaotic Resonance by Lyapunov Exponent in Attractor-Merging Type Systems
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    Chapter 49 Clustering-Based Weighted Extreme Learning Machine for Classification in Drug Discovery Process
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    Chapter 50 Metabolite Named Entity Recognition: A Hybrid Approach
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    Chapter 51 Improving Strategy for Discovering Interacting Genetic Variants in Association Studies
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    Chapter 52 Improving Dependency Parsing on Clinical Text with Syntactic Clusters from Web Text
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    Chapter 53 Exploiting Temporal Genetic Correlations for Enhancing Regulatory Network Optimization
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    Chapter 54 Sleep Stage Prediction Using Respiration and Body-Movement Based on Probabilistic Classifier
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    Chapter 55 Removing Ring Artifacts in CBCT Images Using Smoothing Based on Relative Total Variation
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    Chapter 56 Proposal of a Human Heartbeat Detection/Monitoring System Employing Chirp Z-Transform and Time-Sequential Neural Prediction
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    Chapter 57 Fast Dual-Tree Wavelet Composite Splitting Algorithms for Compressed Sensing MRI
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    Chapter 58 Implementation of a Modular Growing When Required Neural Gas Architecture for Recognition of Falls
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    Chapter 59 Botnet Detection Using Graphical Lasso with Graph Density
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    Chapter 60 The Usability of Metadata for Android Application Analysis
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    Chapter 61 Preserving Privacy of Agents in Reinforcement Learning for Distributed Cognitive Radio Networks
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    Chapter 62 Campus Wireless LAN Usage Analysis and Its Applications
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    Chapter 63 MDL Criterion for NMF with Application to Botnet Detection
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    Chapter 64 A Brief Review of Spin-Glass Applications in Unsupervised and Semi-supervised Learning
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    Chapter 65 Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization
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    Chapter 66 A Novel Manifold Regularized Online Semi-supervised Learning Algorithm
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    Chapter 67 Learning from Few Samples with Memory Network
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    Chapter 68 Generalized Compatible Function Approximation for Policy Gradient Search
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    Chapter 69 A Combo Object Model for Maritime Boat Ramps Traffic Monitoring
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    Chapter 70 Erratum to: Towards Robustness to Fluctuated Perceptual Patterns by a Deterministic Predictive Coding Model in a Task of Imitative Synchronization with Human Movement Patterns