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Issues with Standard KNNs
How do we train?
- To compare with a good Markov classifier we need to use TOE – Train Only Errors
- This is good in that it really speeds up classification and keeps the database small.
- This is bad in that it violates the Cover and Hart assumptions, so the quality limit theorem no longer applies
- BUT – we will train multiple passes to see if an asymptote appears.