Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer’s Disease Progression

Figure 4

Hyperparameter sensitivity analysis: hyperparameter associated with the GFL-SGL temporal smooth penalization term mainly contributes to the forecast and requires consideration. Bigger values for (linked to the task-common group Lasso penalty) tends to enhance the findings for smaller . (a) ADAS (). (b) ADAS (). (c) ADAS (). (d) MMSE (). (e) MMSE (). (f) MMSE ().

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