On the Role of Update Constraints and Text-Types in Iterative Learning
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Date
2014-07-10
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Abstract
The present work investigates the relationship of iterative learning with
other learning criteria such as decisiveness, caution, reliability, non-U-shapedness,
monotonicity, strong monotonicity and conservativeness. Building on the result of
Case and Moelius that iterative learners can be made non-U-shaped, we show that
they also can be made cautious and decisive. Furthermore, we obtain various special
results with respect to one-one texts, fat texts and one-one hypothesis spaces.