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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Algorithms and Improved bounds for online learning under finite hypothesis class
Online learning is the process of answering a sequence of questions based on the correct answers to the previous questions. It is… 
2013
2013
Lecture 2: Weighted Majority Algorithm
Lecture 1 ended by studying the problem of predicting the outcomes of games played among k teams, where a game between two of… 
2013
2013
A social approach for learning agents
2011
2011
Augmenting the analyst via situation-dependent reasoning with trust-annotated facts
We say that a computer program augments the analyst if it can infer facts that are implicit in existing information, but that may… 
2010
2010
Counting Rankings
In this paper, I present a recursive algorithm that calculates the number of rankings that are consistent with a set of data (i.e… 
2009
2009
Weighted Majority Algorithm Follow the Perturbed Leader
17.3.1 Follow the Perturbed Leader 17.3.1.1 Prediction Problem Recall the prediction problem that we discussed in class. In that… 
2001
2001
Population Computation and Majority Inference in Test Tube
We consider a probabilistic interpretation of the test tube which contains a large amount of DNA strands, and propose a… 
2000
2000
Recognizing bounds of context change in on-line learning
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing… 
1999
1999
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1992
1992
THE WEIGHTED MAJORITY ALGORITHM (Supersedes 89-16)
We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a… 
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