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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background;

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background;

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Brain Seizure Detection and Classification Using EEG Signals

performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning;

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Applied Intelligent Decision Making in Machine Learning

, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications;

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Case Studies in Intelligent Computing

the use of a dynamic protocol classification system Nonwavelet and wavelet image denoising methods using fuzzy logic Using remote sensing;

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Case Studies in Intelligent Computing

the use of a dynamic protocol classification system Nonwavelet and wavelet image denoising methods using fuzzy logic Using remote sensing;

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Grammar Based Feature Generation for Time Series Prediction

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation;

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Biosignal Processing and Classification Using Computational Learning and Intelligence

approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to;

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Machine Learning and Intelligent Communications

This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent;

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Hybrid Methods in Feature Selection

selection is essential for the machine learning algorithms while handling high dimensional datasets. Many traditional search methods have shown;

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Hands-On Automated Machine Learning

how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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Mastering Machine Learning for Penetration Testing

generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for;

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Identification of Handwritten Characters using Machine Learning

learning techniques. The performance of these techniques is compared based on some parameters for recognition of similar shaped handwritten Hindi;

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Machine Learning for Predictive Analysis

at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers;

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Artificial Intelligence with Python

the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms;

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Intelligent Learning Systems

Intelligent (machine) learning is a subfield of artificial intelligence and it originates from the researches in the pattern recognition;

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Condition Monitoring with Vibration Signals

accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers;

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Learning and Intelligent Optimization

in this book. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard;

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Python Feature Engineering Cookbook

Key Features Discover solutions for feature generation, feature extraction, and feature selection Uncover the end-to-end feature engineering;

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Machine Learning with PySpark

challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning;

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Soft Computing

Three discusses the intensive developing of Soft Computing systems especially Wavelet-Neuro-Fuzzy Systems (WNFS) in Dynamic Data Mining tasks;

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Hybrid Machine Intelligence for Medical Image Analysis

the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered;

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Feature Engineering for Machine Learning and Data Analytics

depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;

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Feature Engineering for Machine Learning and Data Analytics

depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;

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Discovery Science

includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data;

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Wavelet Analysis and Its Applications: An Introduction

in the development of optical character recognition software for any natural language alongwith wavelet based feature extraction technique;

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