Minimizing Statistical Bias with Queries
dc.date.accessioned | 2004-10-08T20:36:19Z | |
dc.date.accessioned | 2018-11-24T10:21:22Z | |
dc.date.available | 2004-10-08T20:36:19Z | |
dc.date.available | 2018-11-24T10:21:22Z | |
dc.date.issued | 1995-09-01 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/6647 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/6647 | |
dc.description.abstract | I describe an exploration criterion that attempts to minimize the error of a learner by minimizing its estimated squared bias. I describe experiments with locally-weighted regression on two simple kinematics problems, and observe that this "bias-only" approach outperforms the more common "variance-only" exploration approach, even in the presence of noise. | en_US |
dc.format.extent | 285295 bytes | |
dc.format.extent | 363027 bytes | |
dc.language.iso | en_US | |
dc.title | Minimizing Statistical Bias with Queries | en_US |
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