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MC-DBN: A Deep Belief Network-Based Model for Modality Completion
Feb. 16, 2024, 5:42 a.m. | Zihong Luo, Haochen Xue, Mingyu Jin, Chengzhi Liu, Zile Huang, Chong Zhang, Shuliang Zhao
cs.LG updates on arXiv.org arxiv.org
Abstract: Recent advancements in multi-modal artificial intelligence (AI) have revolutionized the fields of stock market forecasting and heart rate monitoring. Utilizing diverse data sources can substantially improve prediction accuracy. Nonetheless, additional data may not always align with the original dataset. Interpolation methods are commonly utilized for handling missing values in modal data, though they may exhibit limitations in the context of sparse information. Addressing this challenge, we propose a Modality Completion Deep Belief Network-Based Model (MC-DBN). …
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