HESSIAN-REGULARIZED CO-TRAINING FOR SOCIAL ACTIVITY RECOGNITION.

Hessian-regularized co-training for social activity recognition.

Co-training is a major multi-view learning paradigm that alternately trains two classifiers on two distinct views and maximizes the moen rothbury faucet mutual agreement on the two-view unlabeled data.Traditional co-training algorithms usually train a learner on each view separately and then force the learners to be consistent across views.Although

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Decoding rail derailments: Unraveling the weighted factors influencing safety and sustainability using the best-worst method

The rail network is essential for sustainable transportation, offering various advantages such as reduced greenhouse gas emissions and congestion relief.However, ensuring safety within the rail network is crucial for its long-term viability and public acceptance.Derailment incidents have significant implications for safety, efficiency, and sustaina

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A Global Red List for Hydrothermal Vent Molluscs

With the accelerating development of direct and indirect anthropogenic threats, including climate change and pollution as well as extractive industries such as deep-sea mining, there is an urgent need for simple but effective solutions to identify conservation priorities for deep-sea species.The International Union for Conservation of Nature (IUCN)

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