Other Identification Criteria
Learning theorists have investigated other learning criteria, such as the following.
- Efficiency: minimizing the number of data points required before convergence to a correct hypothesis.
- Mind Changes: minimizing the number of hypothesis changes that occur before convergence.
Mind change bounds are closely related to mistake bounds that are studied in statistical learning theory. Kevin Kelly has suggested that minimizing mind changes is closely related to choosing maximally simple hypotheses in the sense of Occam’s Razor.
Read more about this topic: Algorithmic Learning Theory
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