Beschreibung
This book introduces Relational Markov Networks (RMNs) 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-RMNs better than CRFs for Collective Information Extraction.
Autorenporträt
Prof (Dr.) Gagan D. Jindal-Professor at the Department of Computer Science & Engineering, Chandigarh Engineering College, Landran (Mohali), Punjab, India.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
