Soft Computing: Collective information extraction - Savita Gupta,Gagan Deep,Lakhwinder Kaur
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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.
Aprašymas
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.
Daugiau informacijos
| Autorius | Savita Gupta, Gagan Deep, Lakhwinder Kaur |
|---|---|
| Leidėjas | LAP LAMBERT Academic Publishing |
| Išleidimo metai | 2019 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9786200242136 |