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Artificial Neural Networks and Machine Learning – ICANN 2018

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Policy Learning Using SPSA
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    Chapter 2 Simple Recurrent Neural Networks for Support Vector Machine Training
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    Chapter 3 RNN-SURV: A Deep Recurrent Model for Survival Analysis
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    Chapter 4 Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification?
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    Chapter 5 Balanced and Deterministic Weight-Sharing Helps Network Performance
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    Chapter 6 Neural Networks with Block Diagonal Inner Product Layers
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    Chapter 7 Training Neural Networks Using Predictor-Corrector Gradient Descent
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    Chapter 8 Investigating the Role of Astrocyte Units in a Feedforward Neural Network
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    Chapter 9 Interactive Area Topics Extraction with Policy Gradient
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    Chapter 10 Implementing Neural Turing Machines
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    Chapter 11 A RNN-Based Multi-factors Model for Repeat Consumption Prediction
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    Chapter 12 Practical Fractional-Order Neuron Dynamics for Reservoir Computing
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    Chapter 13 An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning
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    Chapter 14 Towards End-to-End Raw Audio Music Synthesis
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    Chapter 15 Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion
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    Chapter 16 An Exploration of Dropout with RNNs for Natural Language Inference
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    Chapter 17 Neural Model for the Visual Recognition of Animacy and Social Interaction
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    Chapter 18 Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy
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    Chapter 19 Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures
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    Chapter 20 Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks
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    Chapter 21 Noise Masking Recurrent Neural Network for Respiratory Sound Classification
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    Chapter 22 Lightweight Neural Programming: The GRPU
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    Chapter 23 Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks
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    Chapter 24 Online Carry Mode Detection for Mobile Devices with Compact RNNs
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    Chapter 25 Deep CNN-ELM Hybrid Models for Fire Detection in Images
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    Chapter 26 Siamese Survival Analysis with Competing Risks
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    Chapter 27 A Survey on Deep Transfer Learning
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    Chapter 28 Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning
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    Chapter 29 Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
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    Chapter 30 Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network
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    Chapter 31 Deep 3D Pose Dictionary: 3D Human Pose Estimation from Single RGB Image Using Deep Convolutional Neural Network
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    Chapter 32 FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks
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    Chapter 33 DeepVol: Deep Fruit Volume Estimation
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    Chapter 34 Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation
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    Chapter 35 fNIRS-Based Brain–Computer Interface Using Deep Neural Networks for Classifying the Mental State of Drivers
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    Chapter 36 Research on Fight the Landlords’ Single Card Guessing Based on Deep Learning
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    Chapter 37 Short-Term Precipitation Prediction with Skip-Connected PredNet
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    Chapter 38 An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content
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    Chapter 39 Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio
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    Chapter 40 Data Correction by a Generative Model with an Encoder and its Application to Structure Design
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    Chapter 41 PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control
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    Chapter 42 Modular Domain-to-Domain Translation Network
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    Chapter 43 OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction
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    Chapter 44 Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections
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    Chapter 45 A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs
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    Chapter 46 Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models
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    Chapter 47 A Deep Learning Approach for Sentence Classification of Scientific Abstracts
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    Chapter 48 Weighted Multi-view Deep Neural Networks for Weather Forecasting
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    Chapter 49 Combining Articulatory Features with End-to-End Learning in Speech Recognition
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    Chapter 50 Estimation of Air Quality Index from Seasonal Trends Using Deep Neural Network
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    Chapter 51 A Deep Learning Approach to Bacterial Colony Segmentation
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    Chapter 52 Sparsity and Complexity of Networks Computing Highly-Varying Functions
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    Chapter 53 Deep Learning Based Vehicle Make-Model Classification
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    Chapter 54 Detection and Recognition of Badgers Using Deep Learning
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    Chapter 55 SPSA for Layer-Wise Training of Deep Networks
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    Chapter 56 Dipolar Data Aggregation in the Context of Deep Learning
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    Chapter 57 Video Surveillance of Highway Traffic Events by Deep Learning Architectures
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    Chapter 58 Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks
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    Chapter 59 DeepEthnic: Multi-label Ethnic Classification from Face Images
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    Chapter 60 Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
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    Chapter 61 A Deep Learning Approach for Sentiment Analysis in Spanish Tweets
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    Chapter 62 Location Dependency in Video Prediction
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    Chapter 63 State-Space Analysis of an Ising Model Reveals Contributions of Pairwise Interactions to Sparseness, Fluctuation, and Stimulus Coding of Monkey V1 Neurons
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    Chapter 64 Sparse Coding Predicts Optic Flow Specifities of Zebrafish Pretectal Neurons
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    Chapter 65 Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential
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    Chapter 66 Effectively Interpreting Electroencephalogram Classification Using the Shapley Sampling Value to Prune a Feature Tree
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    Chapter 67 EEG-Based Person Identification Using Rhythmic Brain Activity During Sleep
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    Chapter 68 An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network
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    Chapter 69 Neuronal Asymmetries and Fokker-Planck Dynamics
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    Chapter 70 Learning-While Controlling RBF-NN for Robot Dynamics Approximation in Neuro-Inspired Control of Switched Nonlinear Systems
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    Chapter 71 A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds
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    Chapter 72 De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection
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    Chapter 73 Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms
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    Chapter 74 An Improved Block-Matching Algorithm Based on Chaotic Sine-Cosine Algorithm for Motion Estimation
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    Chapter 75 Terrain Classification with Crawling Robot Using Long Short-Term Memory Network
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    Chapter 76 Mass-Spring Damper Array as a Mechanical Medium for Computation
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    Chapter 77 Kinematic Estimation with Neural Networks for Robotic Manipulators
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    Chapter 78 Hierarchical Attention Networks for User Profile Inference in Social Media Systems
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    Chapter 79 A Topological k -Anonymity Model Based on Collaborative Multi-view Clustering
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    Chapter 80 A Credibility-Based Analysis of Information Diffusion in Social Networks
Attention for Chapter 10: Implementing Neural Turing Machines
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Chapter title
Implementing Neural Turing Machines
Chapter number 10
Book title
Artificial Neural Networks and Machine Learning – ICANN 2018
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-01424-7_10
Book ISBNs
978-3-03-001423-0, 978-3-03-001424-7
Authors

Mark Collier, Joeran Beel, Collier, Mark, Beel, Joeran

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 202 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 23%
Student > Master 35 17%
Researcher 32 16%
Student > Bachelor 29 14%
Other 14 7%
Other 16 8%
Unknown 29 14%
Readers by discipline Count As %
Computer Science 120 59%
Engineering 19 9%
Physics and Astronomy 9 4%
Mathematics 4 2%
Neuroscience 4 2%
Other 11 5%
Unknown 35 17%