Searching for "Tracking the Best Expert." – sorted by Relevance.
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Tracking the best expert
- in The Netherlands. Tracking the Best Expert * MARK HERBSTER AND MANFRED K. WARMUTH (mark
- Cited by 127 (19 self) – Add To MetaCart
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Tracking the best of many experts
- Tracking the best of many experts ⋆ András György 1 , Tamás Linder 2 , and Gábor Lugosi 3 1
- Cited by 8 (6 self) – Add To MetaCart
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On-line Learning and the Metrical Task System Problem
- the problem of tracking the best expert in the clean "decision-theoretic" setting. The second is the Metrical
- Cited by 26 (7 self) – Add To MetaCart
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Tracking the best quantizer
- that allows to track the best expert efficiently even when the number of experts is exponentially large
- Cited by 3 (2 self) – Add To MetaCart
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Wintel architecture specifications. http://www.microsoft.com/hwdev/specs
- as tracking the best expert.) Clearly, both scenarios fall under the framework for sequential decision
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Relative Loss Bounds for Entropy Based Updates (Preliminary Bibliography)
- . Tracking the best expert. In Proc. 12th International Conference on Machine Learning, pages 286
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Adaptive Caching by Experts
- . . . . . . . . . . . . . . . . . . . . . . . . 40 5.6 Plot: Master policy tracks the best expert . . . . . . . . . . . . . . . . . 41 5.7 Code
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Theory, 1998. [BB, p.90] A. Blum and C. Burch. On-line learning and the metrical task system. In
- . Herbster and M. K. Warmuth. Tracking the best expert. Journal of Machine Learning, 32(2):151{ 178, August
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Testing exchangeability on-line
- is reminiscent of “tracking the best expert” in the theory of prediction with expert advice. A general
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Switching Portfolios
- ] for tracking the best expert in a binary prediction setting. The analysis presented in [7] does not simply
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