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Synopsis
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.
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Soft Computing: Collective information extraction
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LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200242135
ISBN 13: 9786200242136
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786200242136
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Soft Computing: Collective information extraction
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200242135
ISBN 13: 9786200242136
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Condition: New. Seller Inventory # 385886043
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Soft Computing: Collective information extraction
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200242135
ISBN 13: 9786200242136
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Paperback. Condition: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock. Seller Inventory # zk6200242135
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Soft Computing: Collective information extraction
Published by
LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200242135
ISBN 13: 9786200242136
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786200242136
Quantity: 2 available
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Soft Computing: Collective information extraction
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200242135
ISBN 13: 9786200242136
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786200242136
Quantity: 1 available