Titlebook: Improving Classifier Generalization; Real-Time Machine Le Rahul Kumar Sevakula,Nishchal K. Verma Book 2023 Springer Nature Singapore Pte Lt

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Rahul Kumar Sevakula,Nishchal K. Vermagning a drug delivery system, it is important to quantify molecular release kinetics, analyze the empirical model of molecular release, and elucidate the mechanisms involved in the release process (Siegel RA, Rathbone MJ, Fundamentals and applications of controlled release drug delivery. Springer US

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Rahul Kumar Sevakula,Nishchal K. Verma grains is reviewed...The book is beneficial for those new in the field as a primer on first-order phase transition from modern perspectives. The comprehensive content offers overviews of related topics and allows readers to quickly catch up with developments in the field..

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Rahul Kumar Sevakula,Nishchal K. VermaIncludes a special chapter on methods to improve generalization performance during classification.Case studies provide a "how to" for improving classification performance on numerous types of problems

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https://doi.org/10.1007/978-981-19-5073-5Classification algorithms; Generalization performance; Predictive maintenance; Cancer classification; Tr

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Stacked Denoising Sparse Autoencoder-Based Fuzzy Rule Classifiers,With time, machine learning experts are unanimously agreeing that finding good features is one of the most important problems in pattern classification [1]. In fact, if given features are good, even a linear classifier would suffice to give excellent classification results.