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1. |
Record Nr. |
UNINA9910520005003321 |
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Autore |
Forshaw Barry |
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Titolo |
The silence of the lambs / / Barry Forshaw [[electronic resource]] |
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Pubbl/distr/stampa |
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Oxford : , : Oxford University Press, , 2021 |
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ISBN |
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1-80034-207-1 |
1-80034-690-5 |
1-906733-98-8 |
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Descrizione fisica |
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1 online resource (159 p.) |
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Collana |
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Devil's advocates |
Liverpool scholarship online |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Previously issued in print: Leighton Buzzard: Auteur, 2013. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover ; Series Page; Series List; Title Page; Acknowledgments; Copyright; Contents ; Introduction; Hannibal's Precursors; The Ascent of Hannibal Lecter; Jonathan Demme's The Silence of the Lambs; Making Horror Respectable; After the Silence; Lecter's Progeny; Legacy of the Lambs; Appendix; Bibliography / Filmography |
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Sommario/riassunto |
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The 1991 film 'The Silence of the Lambs', based on Thomas Harris's bestseller, was a game-changer in the fields of both horror and crime cinema. FBI trainee Clarice Starling was a new kind of heroine, vulnerable, intuitive, and in a deeply unhealthy relationship with her monstrous helper/opponent, the serial killer Hannibal Lecter. Jonathan Demme's film skillfully appropriated the tropes of police procedural, gothic melodrama and contemporary horror to produce something entirely new. The resulting film was both critically acclaimed and massively popular, and went on to have an enormous influence on 1990s genre cinema. This book closely examines the factors that contributed to the film's impact, including the revelatory performances of Jodie Foster and Anthony Hopkins in the lead roles. |
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2. |
Record Nr. |
UNINA9910918598403321 |
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Autore |
Chakraborty Sanjay |
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Titolo |
Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance : Theory and Practices / / by Sanjay Chakraborty, Lopamudra Dey |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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9789819796229 |
9789819796212 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (177 pages) |
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Collana |
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Springer Tracts in Nature-Inspired Computing, , 2524-5538 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Machine learning |
Computational Intelligence |
Artificial Intelligence |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1. Introduction to Classification -- 2. Class Imbalance and Data Irregularities in Classification -- 3. Multi-class Classification -- 4. Multi-Objective and Multi-Label Classification -- 5. Deep Learning Inspired Multiclass and Multilabel Classification -- 6. Applications of Multi-objective, Multi-label and Multi-class Classifications. |
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Sommario/riassunto |
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This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a deeper grasp of multi-dimensional data analysis in today's data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications. |
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