Artificial Intelligence

Bidirectional Language Modeling: A Systematic Literature Review

In transfer learning, two major activities, i.e., pretraining and fine-tuning, are carried out to perform downstream tasks. )eadvent of transformer architecture and bidirectional language models, e.g., bidirectional encoder representation from transformer(BERT), enables the functionality of transfer learning. Besides, BERT bridges the limitations of unidirectional language models byremoving the dependency on the recurrent neural network (RNN). …

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A Novel Approach for Ensemble Feature Selection Using Clustering with Automatic Threshold

Feature Selection (FS) is the core part of data processing pipeline. Use of ensemble in FS is a relatively new approach aiming at producing more diversity in feature dataset, which provides better performance as well as more robust and accurate result. An aggregation step combined the output of each FS method and generate the Single …

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