Recent Advances in Big Data and Deep Learning

Table of Contents

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   Book Overview
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   Chapter 1 On the Trade-Off Between Number of Examples and Precision of Supervision in Regression
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   Chapter 2 Distributed SmSVM Ensemble Learning
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   Chapter 3 Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary Approach
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   Chapter 4 Fast Transfer Learning for Image Polarity Detection
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   Chapter 5 Dropout for Recurrent Neural Networks
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   Chapter 6 Psychiatric Disorders Classification with 3D Convolutional Neural Networks
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   Chapter 7 Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions
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   Chapter 8 Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection
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    Chapter 9 Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks
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    Chapter 10 An Information Theoretic Approach to the Autoencoder
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    Chapter 11 Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning
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    Chapter 12 Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies
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    Chapter 13 Presumable Applications of Deep Learning for Cellular Automata Identification
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    Chapter 14 Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability
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    Chapter 15 Train Overtaking Prediction in Railway Networks: A Big Data Perspective
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    Chapter 16 Cavitation Noise Spectra Prediction with Hybrid Models
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    Chapter 17 Pseudoinverse Learners: New Trend and Applications to Big Data
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    Chapter 18 Innovation Capability of Firms: A Big Data Approach with Patents
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    Chapter 19 Predicting Future Market Trends: Which Is the Optimal Window?
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    Chapter 20 $$F_{0}$$ F 0 Modeling Using DNN for Arabic Parametric Speech Synthesis
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    Chapter 21 Regularizing Neural Networks with Gradient Monitoring
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    Chapter 22 Visual Analytics for Supporting Conflict Resolution in Large Railway Networks
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    Chapter 23 Modeling Urban Traffic Data Through Graph-Based Neural Networks
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    Chapter 24 Traffic Sign Detection Using R-CNN
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    Chapter 25 Deep Tree Transductions - A Short Survey
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    Chapter 26 Approximating the Solution of Surface Wave Propagation Using Deep Neural Networks
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    Chapter 27 A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification
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    Chapter 28 Comparing the Estimations of Value-at-Risk Using Artificial Network and Other Methods for Business Sectors
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    Chapter 29 Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics
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    Chapter 30 Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning
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    Chapter 31 Asynchronous Stochastic Variational Inference
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    Chapter 32 Probabilistic Bounds for Binary Classification of Large Data Sets
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    Chapter 33 Multikernel Activation Functions: Formulation and a Case Study
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    Chapter 34 Understanding Ancient Coin Images
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    Chapter 35 Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix
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    Chapter 36 Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer
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    Chapter 37 A Preference-Learning Framework for Modeling Relational Data
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    Chapter 38 Convolutional Neural Networks for Twitter Text Toxicity Analysis
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    Chapter 39 Fast Spectral Radius Initialization for Recurrent Neural Networks