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On the Role of Update Constraints and Text-Types in Iterative Learning

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dc.contributor.author JAIN, Sanjay en_US
dc.contributor.author KÖTZING, Timo en_US
dc.contributor.author MA, Junqi en_US
dc.contributor.author STEPHAN, Frank en_US
dc.date.accessioned 2014-07-15T06:47:23Z en_US
dc.date.accessioned 2017-01-23T06:59:43Z
dc.date.available 2014-07-15T06:47:23Z en_US
dc.date.available 2017-01-23T06:59:43Z
dc.date.issued 2014-07-10 en_US
dc.identifier.uri http://hdl.handle.net/1900.100/4662 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.relation.ispartofseries TRA7/14; en_US
dc.title On the Role of Update Constraints and Text-Types in Iterative Learning en_US
dc.type Technical Report en_US


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