Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200242135 ISBN 13: 9786200242136
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 34,25
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Añadir al carritoCondición: New.
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200242135 ISBN 13: 9786200242136
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 39,90
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book introduces Relational Markov Networks (RMN¿s) for Collective Information Extraction. Also, an attempt has been made to improve the performance of Relational Markov Network using Approximate Inference Procedure such as Gibbs Sampling for Collective Information Extraction. Gibbs Sampling has been used for making the performance of LT-RMN¿s better than CRF¿s for Collective Information Extraction.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200242135 ISBN 13: 9786200242136
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 71,10
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Añadir al carritoPaperback. Condición: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.
Publicado por LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200242135 ISBN 13: 9786200242136
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 39,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces Relational Markov Networks (RMN's) for Collective Information Extraction. Also, an attempt has been made to improve the performance of Relational Markov Network using Approximate Inference Procedure such as Gibbs Sampling for Collective Information Extraction. Gibbs Sampling has been used for making the performance of LT-RMN's better than CRF's for Collective Information Extraction. 76 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200242135 ISBN 13: 9786200242136
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces Relational Markov Networks (RMN's) for Collective Information Extraction. Also, an attempt has been made to improve the performance of Relational Markov Network using Approximate Inference Procedure such as Gibbs Sampling for Collective Information Extraction. Gibbs Sampling has been used for making the performance of LT-RMN's better than CRF's for Collective Information Extraction.