The randomized weighted majority algorithm is an algorithm in machine learning theory for aggregating expert predictions to a series of decision problems...

learning, weighted majority algorithm (WMA) is a meta learning algorithm used to construct a compound algorithm from a pool of prediction algorithms, which...

\eta =1/2} in weighted majority algorithm and allow 0 ≤ η ≤ 1 {\displaystyle 0\leq \eta \leq 1} in randomized weighted majority algorithm. The multiplicative...

regression, the k-NN algorithm[citation needed] is used for estimating continuous variables. One such algorithm uses a weighted average of the k nearest...

Query-level feature Quickprop Radial basis function network Randomized weighted majority algorithm Reinforcement learning Repeated incremental pruning to produce...

method of random decision forests was first proposed by Salzberg and Heath in 1993, with a method that used a randomized decision tree algorithm to generate...

Algorithmic Game Theory, Cambridge University Press, pp. 79–101, ISBN 978-0-521-87282-9, MR 2391751; see 4.3.2 Randomized Weighted Majority Algorithm...

ensemble meta-algorithm for primarily reducing bias, variance. It is used in supervised learning and a family of machine learning algorithms that convert...

that used randomized decision tree algorithms to generate multiple different trees from the training data, and then combine them using majority voting to...

In computer science, streaming algorithms are algorithms for processing data streams in which the input is presented as a sequence of items and can be...