Soft Computing: Collective information extraction
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Gagan Deep, Savita Gupta, Lakhwinder Kaur
Deep, GaganProf (Dr.) Gagan D. Jindal-Professor at the Department of Computer Science & Engineering, Chandigarh Engineering College, Landran (Mohali), Punjab, India.
Bibliographische Angaben
- Autoren: Gagan Deep , Savita Gupta , Lakhwinder Kaur
- 2019, 76 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200242135
- ISBN-13: 9786200242136
Sprache:
Englisch
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