Arindam Chaudhuri – författare
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11 produkter
Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
Av Arindam Chaudhuri, Soumya K. Ghosh
Inbunden, 2015
1098 kr
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This book offers a comprehensive guide to the modelling of operational risk using possibility theory. It provides a set of methods for measuring operational risks under a certain degree of vagueness and impreciseness, as encountered in real-life data. It shows how possibility theory and …
Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
Av Soumya K. Ghosh, Arindam Chaudhuri
E-bok, 2015
1470 kr
Lägg i varukorg
This book offers a comprehensive guide to the modelling of operational risk using possibility theory. It provides a set of methods for measuring operational risks under a certain degree of vagueness and impreciseness, as encountered in real-life data. It shows how possibility theory and …
Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
Av Arindam Chaudhuri, Soumya K. Ghosh
Häftad, 2016
1098 kr
Lägg i varukorg
This book offers a comprehensive guide to the modelling of operational risk using possibility theory. It provides a set of methods for measuring operational risks under a certain degree of vagueness and impreciseness, as encountered in real-life data. It shows how possibility theory and …
Optical Character Recognition Systems for Different Languages with Soft Computing
Av Arindam Chaudhuri, Krupa Mandaviya m. fl.
Inbunden, 2017
1693 kr
Lägg i varukorg
The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, …
Optical Character Recognition Systems for Different Languages with Soft Computing
Av Soumya K Ghosh, Pratixa Badelia m. fl.
E-bok, 2016
2127 kr
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The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, …
Optical Character Recognition Systems for Different Languages with Soft Computing
Av Arindam Chaudhuri, Krupa Mandaviya m. fl.
Häftad, 2018
1693 kr
Lägg i varukorg
The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, …
Bankruptcy Prediction through Soft Computing based Deep Learning Technique
Av Arindam Chaudhuri, Soumya K Ghosh
Häftad, 2017
569 kr
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This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough …
Bankruptcy Prediction through Soft Computing based Deep Learning Technique
Av Soumya K Ghosh, Arindam Chaudhuri
E-bok, 2017
734 kr
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This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough …
Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks
Häftad, 2019
569 kr
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This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). …
Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks
E-bok, 2019
755 kr
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This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). …