首页|Data on Computational Intelligence Reported by Researchers at Southwest Universi ty (Adaptive Divergence-based Non-negative Latent Factor Analysis of High-dimens ional and Incomplete Matrices From Industrial Applications)
Data on Computational Intelligence Reported by Researchers at Southwest Universi ty (Adaptive Divergence-based Non-negative Latent Factor Analysis of High-dimens ional and Incomplete Matrices From Industrial Applications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g originating from Chongqing, People’s Republic of China, by NewsRx corresponden ts, research stated, “High-Dimensional and Incomplete (HDI) data are commonly se en in various big-data-related applications concerning the inherent non-negativi ty interactions among numerous nodes. A Non-negative Latent Factor Analysis (NLF A) model performs efficient representation learning to such HDI data.”
ChongqingPeople’s Republic of ChinaA siaComputational IntelligenceMachine LearningSouthwest University
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