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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… Expand
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Papers overview

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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… Expand
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2013
2013
Lecture 1 ended by studying the problem of predicting the outcomes of games played among k teams, where a game between two of… Expand
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2013
2013
Dynamic weighted majority-Winnow (DWM-WIN) algorithm of [5] is a powerful classification method for nonstationary environments… Expand
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2009
2009
  • David He, Chris Hopman
  • 2009
  • Corpus ID: 14751150
17.3.1 Follow the Perturbed Leader 17.3.1.1 Prediction Problem Recall the prediction problem that we discussed in class. In that… Expand
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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… Expand
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Highly Cited
2000
Highly Cited
2000
Abstract We show that it is possible to collect data that are useful for collaborative filtering (CF) using an autonomous Web… Expand
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Highly Cited
1994
Highly Cited
1994
We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a… Expand
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1992
1992
We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a… Expand
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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… Expand
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Highly Cited
1989
Highly Cited
1989
The construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be… Expand
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