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The Minimum Transfer Cost Principle for Model-Order Selection
Published on Nov 30, 20112789 Views
The goal of model-order selection is to select a model variant that generalizes best from training data to unseen test data. In unsupervised learning without any labels, the computation of the general
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Chapter list
The Minimum Transfer Cost Principle for Model - Order Selection00:00
Outline00:24
Motivation00:48
Transfer Costs: Intuition02:01
Transfer costs for factorial models03:23
The Minimum Transfer Cost Principle05:25
Denoising Matrices via truncated SVD06:32
Selecting the rank for truncated SVD08:38
Correlation Clustering09:47
Finding the number of clusters12:16
Transfer costs for k-means13:51
k-means: easy case15:03
k-means: scale inhomogenity17:17
Conclusion18:58