Please use this identifier to cite or link to this item: https://dl.comp.nus.edu.sg/handle/1900.100/4662
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dc.contributor.authorJAIN, Sanjayen_US
dc.contributor.authorKÖTZING, Timoen_US
dc.contributor.authorMA, Junqien_US
dc.contributor.authorSTEPHAN, Franken_US
dc.date.accessioned2014-07-15T06:47:23Zen_US
dc.date.accessioned2017-01-23T06:59:43Z-
dc.date.available2014-07-15T06:47:23Zen_US
dc.date.available2017-01-23T06:59:43Z-
dc.date.issued2014-07-10en_US
dc.identifier.urihttp://hdl.handle.net/1900.100/4662en_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTRA7/14;en_US
dc.titleOn the Role of Update Constraints and Text-Types in Iterative Learningen_US
dc.typeTechnical Reporten_US
Appears in Collections:Technical Reports

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