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Applications of Machine Learning

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Table of Contents

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    Book Overview
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    Chapter 1 Statistical Learning Process for the Reduction of Sample Collection Assuring a Desired Level of Confidence
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    Chapter 2 Sentiment Analysis on Google Play Store Data Using Deep Learning
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    Chapter 3 Managing the Data Meaning in the Data Stream Processing: A Systematic Literature Mapping
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    Chapter 4 Tracking an Object Using Traditional MS (Mean Shift) and CBWH MS (Mean Shift) Algorithm with Kalman Filter
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    Chapter 5 Transfer Learning and Domain Adaptation for Named-Entity Recognition
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    Chapter 6 Knowledge Graph from Informal Text: Architecture, Components, Algorithms and Applications
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    Chapter 7 Neighborhood-Based Collaborative Recommendations: An Introduction
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    Chapter 8 Classification of Arabic Text Using Singular Value Decomposition and Fuzzy C-Means Algorithms
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    Chapter 9 Echo State Network Based Nonlinear Channel Equalization in Wireless Communication System
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    Chapter 10 Melody Extraction from Music: A Comprehensive Study
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    Chapter 11 Comparative Analysis of Combined Gas Turbine–Steam Turbine Power Cycle Performance by Using Entropy Generation and Statistical Methodology
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    Chapter 12 Data Mining—A Tool for Handling Huge Voluminous Data
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    Chapter 13 Improving the Training Pattern in Back-Propagation Neural Networks Using Holt-Winters’ Seasonal Method and Gradient Boosting Model
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    Chapter 14 Ensemble of Multi-headed Machine Learning Architectures for Time-Series Forecasting of Healthcare Expenditures
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    Chapter 15 Soft Computing Approaches to Investigate Software Fault Proneness in Agile Software Development Environment
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    Chapter 16 Week Ahead Time Series Prediction of Sea Surface Temperature Using Nonlinear Autoregressive Network with and Without Exogenous Inputs
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    Chapter 17 Regression Model of Frame Rate Processing Performance for Embedded Systems Devices
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    Chapter 18 Time Series Data Representation and Dimensionality Reduction Techniques
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    Chapter 19 Simultaneous Localization and Mapping with Gaussian Technique
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    Chapter 20 Unsupervised Learning of the Sequences of Adulthood Transition Trajectories
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    Chapter 21 A Quantile-Based Approach to Supervised Learning
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    Chapter 22 Feature Learning Using Random Forest and Binary Logistic Regression for ATDS
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    Chapter 23 MLPGI: Multilayer Perceptron-Based Gender Identification Over Voice Samples in Supervised Machine Learning
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    Chapter 24 Scrutinize the Idea of Hadoop-Based Data Lake for Big Data Storage
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Title
Applications of Machine Learning
Published by
Springer Singapore, July 2020
DOI 10.1007/978-981-15-3357-0
ISBNs
978-9-81-153356-3, 978-9-81-153357-0
Editors

Johri, Prashant, Verma, Jitendra Kumar, Paul, Sudip