Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The task of relevance search is to find relevant items to some given queries, which can be viewed either as an information retrieval problem or as a semi-supervised learning problem. In order to combine both of their advantages, we develop a new relevance search method using label diffusion on bipartite graphs. And we propose a heat diffusion-based algorithm, namely bipartite label diffusion (BLD). Our method yields encouraging experimental results on a number of relevance search problems.
Dr. Zhang Liang. 2012. \u201cRelevance Search via Bipolar Label Diffusion on Bipartite Graphs\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D10): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 137
Country: China
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: Dr. Zhang Liang, Ren Lixiao (PhD/Dr. count: 1)
View Count (all-time): 231
Total Views (Real + Logic): 10170
Total Downloads (simulated): 2726
Publish Date: 2012 08, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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The task of relevance search is to find relevant items to some given queries, which can be viewed either as an information retrieval problem or as a semi-supervised learning problem. In order to combine both of their advantages, we develop a new relevance search method using label diffusion on bipartite graphs. And we propose a heat diffusion-based algorithm, namely bipartite label diffusion (BLD). Our method yields encouraging experimental results on a number of relevance search problems.
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