Weighted Majority Algorithm

In machine learning, Weighted Majority Algorithm (WMA) is a meta-learning algorithm used to construct a compound algorithm from a pool of prediction… (More)
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Topic mentions per year

Topic mentions per year

1989-2017
012319892017

Papers overview

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2016
2016
Previously, we introduced the best-expert problem, and we proved a O(ln K) mistake bound for the majority vote algorithm when a… (More)
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2016
2016
With the increasing volume of data in the world, the best approach for learning from this data is to exploit an online learning… (More)
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2016
2016
Learning with expert advice as a scheme of on-line learning has been very successfully applied to various learning problems due… (More)
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2013
2013
Dynamic weighted majority-Winnow (DWM-WIN) algorithm of [5] is a powerful classification method for nonstationary environments… (More)
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2009
2009
17.3.1 Follow the Perturbed Leader 17.3.1.1 Prediction Problem Recall the prediction problem that we discussed in class. In that… (More)
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Highly Cited
2004
Highly Cited
2004
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  • 2004
Nick Littlestone * Aiken Computation Laboratory Harvard Univ. Manfred K. Warmuth t Dept. of Computer Sci. 
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Highly Cited
2003
Highly Cited
2003
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted… (More)
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Review
2000
Review
2000
Analyzing the interactions between genes by systematic gene disruptions and gene overexpressions is getting more important in… (More)
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1998
1998
The absolute loss is the absolute difference between the desired and predicted outcome. This paper demonstrates worst-case upper… (More)
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Highly Cited
1989
Highly Cited
1989
We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials with a prediction… (More)
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