How do we account for the grouping of the training data?
Suppose I am trying to classify groups of pixels in images. I have 10 images that I can draw groups of pixels from. The images are indexed by theta, with k=10. How do we account for the grouping of the training data? What strategies exist to build a "good" (unbiased) training set in cases like this?
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