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Machine Learning for Corporate Failure Prediction: An Empirical Study of South African Companies - Brossura
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Corporate failure is an essential component of an efficient market economy. It allows for the recycling of financial, human and physical resources into more productive organisations. However, many stakeholders, have an interest in the financial health of a firm, as the failure of the corporation can have a significant impact on the costs to all parties. Machine learning can broadly be defined as the field of study that concentrates on algorithms that have the ability to learn. This is in direct contrast to expert systems that are automated with a set of predetermined rules for the classification of the independent variable. Machine learning techniques are adept at finding potential solutions to highly complex problems. In this research, support vector machines and genetic algorithms were applied to the problem of corporate failure prediction (a complex, non-linear problem) with great effect. The book ends by showing, mathematically, the relationship between support vector machines and kernel ridge regression.
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Saul is a qualified Chartered Accountant, Chartered Financial Analyst and has completed his Masters in intelligent pattern recognition techniques. He would prefer to be on a deserted island than at a computer.
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Machine Learning for Corporate Failure Prediction
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LAP Lambert Academic Publishing Sep 2013, 2013
ISBN 10: 3847379658
ISBN 13: 9783847379652
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Corporate failure is an essential component of an efficient market economy. It allows for the recycling of financial, human and physical resources into more productive organisations. However, many stakeholders, have an interest in the financial health of a firm, as the failure of the corporation can have a significant impact on the costs to all parties. Machine learning can broadly be defined as the field of study that concentrates on algorithms that have the ability to learn. This is in direct contrast to expert systems that are automated with a set of predetermined rules for the classification of the independent variable. Machine learning techniques are adept at finding potential solutions to highly complex problems. In this research, support vector machines and genetic algorithms were applied to the problem of corporate failure prediction (a complex, non-linear problem) with great effect. The book ends by showing, mathematically, the relationship between support vector machines and kernel ridge regression. 364 pp. Englisch. Codice articolo 9783847379652
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Machine Learning for Corporate Failure Prediction
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847379658
ISBN 13: 9783847379652
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kornik SaulSaul is a qualified Chartered Accountant, Chartered Financial Analyst and has completed his Masters in intelligent pattern recognition techniques. He would prefer to be on a deserted island than at a computer.Corporate. Codice articolo 5514448
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Machine Learning for Corporate Failure Prediction | An Empirical Study of South African Companies
Editore:
LAP Lambert Academic Publishing, 2013
ISBN 10: 3847379658
ISBN 13: 9783847379652
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Machine Learning for Corporate Failure Prediction | An Empirical Study of South African Companies | Saul Kornik | Taschenbuch | Paperback | 364 S. | Englisch | 2013 | LAP Lambert Academic Publishing | EAN 9783847379652 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106244684
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Machine Learning for Corporate Failure Prediction
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LAP Lambert Academic Publishing Sep 2013, 2013
ISBN 10: 3847379658
ISBN 13: 9783847379652
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Corporate failure is an essential component of an efficient market economy. It allows for the recycling of financial, human and physical resources into more productive organisations. However, many stakeholders, have an interest in the financial health of a firm, as the failure of the corporation can have a significant impact on the costs to all parties. Machine learning can broadly be defined as the field of study that concentrates on algorithms that have the ability to learn. This is in direct contrast to expert systems that are automated with a set of predetermined rules for the classification of the independent variable. Machine learning techniques are adept at finding potential solutions to highly complex problems. In this research, support vector machines and genetic algorithms were applied to the problem of corporate failure prediction (a complex, non-linear problem) with great effect. The book ends by showing, mathematically, the relationship between support vector machines and kernel ridge regression.Books on Demand GmbH, Überseering 33, 22297 Hamburg 364 pp. Englisch. Codice articolo 9783847379652
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Machine Learning for Corporate Failure Prediction : An Empirical Study of South African Companies
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LAP Lambert Academic Publishing, 2012
ISBN 10: 3847379658
ISBN 13: 9783847379652
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Corporate failure is an essential component of an efficient market economy. It allows for the recycling of financial, human and physical resources into more productive organisations. However, many stakeholders, have an interest in the financial health of a firm, as the failure of the corporation can have a significant impact on the costs to all parties. Machine learning can broadly be defined as the field of study that concentrates on algorithms that have the ability to learn. This is in direct contrast to expert systems that are automated with a set of predetermined rules for the classification of the independent variable. Machine learning techniques are adept at finding potential solutions to highly complex problems. In this research, support vector machines and genetic algorithms were applied to the problem of corporate failure prediction (a complex, non-linear problem) with great effect. The book ends by showing, mathematically, the relationship between support vector machines and kernel ridge regression. Codice articolo 9783847379652
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Machine Learning for Corporate Failure Prediction
Editore:
LAP Lambert Academic Publishing, 2012
ISBN 10: 3847379658
ISBN 13: 9783847379652
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paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA80038473796586
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