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An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination
Research article (Financial Innovation, 2021) · cited 83× · AI/ML
An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination
Summary
An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination is a scholarly article[1].
Key Facts
An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-stock-market-prediction-model-using-hybrid-feature-reduction-method-based-on-variational-autoencoders-and-r
MLA“An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-stock-market-prediction-model-using-hybrid-feature-reduction-method-based-on-variational-autoencoders-and-r.
BibTeX@misc{4ortxyz_an-efficient-stock-market-prediction-model-using-hybrid-feature-reduction-method-based-on-variational-autoencoders-and-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-stock-market-prediction-model-using-hybrid-feature-reduction-method-based-on-variational-autoencoders-and-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination — https://4ort.xyz/entity/an-efficient-stock-market-prediction-model-using-hybrid-feature-reduction-method-based-on-variational-autoencoders-and-r (retrieved 2026-05-24)
