Weighted Majority Algorithm
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Previously, we introduced the best-expert problem, and we proved a O(ln K) mistake bound for the majority vote algorithm when a… (More)
With the increasing volume of data in the world, the best approach for learning from this data is to exploit an online learning… (More)
Learning with expert advice as a scheme of on-line learning has been very successfully applied to various learning problems due… (More)
Dynamic weighted majority-Winnow (DWM-WIN) algorithm of  is a powerful classification method for nonstationary environments… (More)
17.3.1 Follow the Perturbed Leader 126.96.36.199 Prediction Problem Recall the prediction problem that we discussed in class. In that… (More)
Nick Littlestone * Aiken Computation Laboratory Harvard Univ. Manfred K. Warmuth t Dept. of Computer Sci.
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted… (More)
Analyzing the interactions between genes by systematic gene disruptions and gene overexpressions is getting more important in… (More)
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper… (More)
We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials with a prediction… (More)