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| Multi-omic Network Regression: Methodology, Tool and Case Study | Oct 12, 2018 | regression | —Unverified | 0 |
| Multiparameter regularization and aggregation in the context of polynomial functional regression | May 7, 2024 | regression | —Unverified | 0 |
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| Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start | Dec 8, 2017 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
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| Multiple Descent in the Multiple Random Feature Model | Aug 21, 2022 | Ensemble Learningmodel | —Unverified | 0 |
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| Multiple Learning for Regression in big data | Mar 3, 2019 | Formregression | —Unverified | 0 |
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| Multiscale regression on unknown manifolds | Jan 13, 2021 | regression | —Unverified | 0 |
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| Multi-Semantic Interactive Learning for Object Detection | Mar 18, 2023 | ClassificationObject | —Unverified | 0 |
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| Multi-Step Regression Learning for Compositional Distributional Semantics | Mar 1, 2013 | regression | —Unverified | 0 |
| Multi-subject MEG/EEG source imaging with sparse multi-task regression | Oct 3, 2019 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
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| Multi-target regression via output space quantization | Mar 22, 2020 | Computational EfficiencyMulti-target regression | —Unverified | 0 |
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| Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy | Mar 6, 2021 | General Classificationregression | —Unverified | 0 |
| Multi-Task Kernel Null-Space for One-Class Classification | May 22, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
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| Multitask LSTM for Arboviral Outbreak Prediction Using Public Health Data | May 7, 2025 | Binary ClassificationHyperparameter Optimization | —Unverified | 0 |