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Protein Structural Annotation: Multi-Task Learning and Feature Selection

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Academic year: 2021

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Figure 2.5: Bias/variance tradeoff. Curves on the top represent a typical behavior of a loss function obtained when the complexity of the model varies
Figure 2.6: Idea of support vector machine on a two-dimensional problem.
Figure 2.8: Structure of a binary classification decision tree. Internal nodes (in white) perform a test on one attribute
Figure 2.9: Inference of a tree-based ensemble method. A new example x traverses each of the T trees, which return T predictions y ˆ i (one per tree)
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