- Joined
- Jul 4, 2022
- Messages
- 216,958
- Reaction score
- 0
- Points
- 36
pdf, epub | 24.21 MB | English | Isbn: B0BGXH913L | Author: Rahul Kumar Sevakula, Nishchal K. Verma | Year: 2023
Description:
This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.
Code:
https://1dl.net/650ms31fyxq4
Feel free to post your Improving Classifier Generalization - Real-Time Machine Learning based Application... Free Download, torrent, subtitles, free download, quality, NFO, Dangerous Improving Classifier Generalization - Real-Time Machine Learning based Application... Torrent Download, free premium downloads movie, game, mp3 download, crack, serial, keygen.