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Titlebook: Machine Intelligence and Signal Processing; Richa Singh,Mayank Vatsa,Ajay Kumar Conference proceedings 2016 Springer India 2016 Biomedical

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發(fā)表于 2025-3-21 16:18:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Intelligence and Signal Processing
編輯Richa Singh,Mayank Vatsa,Ajay Kumar
視頻videohttp://file.papertrans.cn/621/620359/620359.mp4
概述Presents multi-disciplinary papers in the domain of machine learning and signal processing.Contains selected tutorial style papers written by eminent researchers.Includes different applications such a
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Machine Intelligence and Signal Processing;  Richa Singh,Mayank Vatsa,Ajay Kumar Conference proceedings 2016 Springer India 2016 Biomedical
描述This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning – instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intelligence and Signal Processing was one of the few unique events that are focused on the convergence of the two fields. The book is comprised of chapters based on the top presentat
出版日期Conference proceedings 2016
關鍵詞Biomedical Signal Processing; Biometrics; Compressed Sensing; Data Analytics; Intelligent Signal Process
版次1
doihttps://doi.org/10.1007/978-81-322-2625-3
isbn_softcover978-81-322-2624-6
isbn_ebook978-81-322-2625-3Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer India 2016
The information of publication is updating

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Gaurav Goswami,Richa Singh,Mayank Vatsaoll, sich zu verdeutlichen, da? diese Politik ursprünglich die L?sung der Arbeiterfrage zum Ziele hatte. Wie im vorhergehenden Kapitel ersichtlich wurde, war die Sozialpolitik von 1839 bis 1880 . vor allem eine auf Frauen und Kinder und . eine auf den Arbeitszeitschutz, den Lohnschutz und den Gefahr
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Genetically Modified Logistic Regression with Radial Basis Function for Robust Software Effort Pred for prediction analytics. This project develops a genetically modified evolutionary logistic regression technique using radial basis functions (GLR-RBF). This methodology employs three crucial stages. First stage is an evolutionary stage employing two fitness functions. Initially, the dataset obtai
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