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Jul 9, 2021 · In this paper, a new framework is proposed to assign the proposal to reviewer and identify the proposal theme automatically. First, a list of ...
Title: Information retrieval from multi-domain specific research proposal using hierarchical-based neural network clustering algorithm ... Abstract: Research ...
Clustering Algorithms. Article. Information retrieval from multi-domain specific research proposal using hierarchical-based neural network clustering algorithm.
Babu, M.R. (2021) 'Information retrieval from multi-domain specific research proposal using hierarchical-based neural network clustering algorithm',. Int. J ...
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research-article. Information retrieval from multi-domain specific research proposal using hierarchical-based neural network clustering algorithm · Author ...
Apr 8, 2023 · In this work, an end-to-end methodology for semi-supervised document clustering is introduced to partially automate classification of research ...
Mar 17, 2024 · The algorithm reduces high-dimensional images into a hierarchy of groups that describes images and provides information that summarizes the ...
Comparison of hierarchical clustering and neural network ... - Nature
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Apr 6, 2023 · A comparison of neural network clustering (NNC) and hierarchical clustering (HC) is conducted to assess computing dominance of two machine ...
In this paper, we extend our previous works, where we investigated a new local-based classification method that incrementally trains a multi-layer perceptron ...
Aug 13, 2024 · We propose Hierarchical Structured Neural Network (HSNN) that can be used as a drop-in replacement to any Embedding Based Retrieval (EBR) system ...
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