The randomized weighted majority algorithm is an algorithm in machine learning theory for aggregating expert predictions to a series of decision problems...
15 KB (2,401 words) - 05:15, 30 December 2023
learning, weighted majority algorithm (WMA) is a meta learning algorithm used to construct a compound algorithm from a pool of prediction algorithms, which...
2 KB (302 words) - 18:56, 13 January 2024
\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...
24 KB (3,684 words) - 10:15, 18 May 2024
regression, the k-NN algorithm[citation needed] is used for estimating continuous variables. One such algorithm uses a weighted average of the k nearest...
31 KB (4,251 words) - 11:49, 29 September 2024
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...
46 KB (6,618 words) - 22:18, 23 August 2024
Outline of machine learning (redirect from Machine learning algorithms)
Query-level feature Quickprop Radial basis function network Randomized weighted majority algorithm Reinforcement learning Repeated incremental pruning to produce...
41 KB (3,580 words) - 16:15, 14 June 2024
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...
7 KB (382 words) - 15:00, 17 October 2023
Boosting (machine learning) (redirect from Boosting (meta-algorithm))
ensemble meta-algorithm for primarily reducing bias, variance. It is used in supervised learning and a family of machine learning algorithms that convert...
21 KB (2,245 words) - 12:20, 2 October 2024
Decision tree learning (redirect from Decision Tree Training Algorithm)
that used randomized decision tree algorithms to generate multiple different trees from the training data, and then combine them using majority voting to...
47 KB (6,524 words) - 12:39, 16 July 2024
Ensemble learning (redirect from Ensemble Algorithms)
of stacking. Voting is another form of ensembling. See e.g. Weighted majority algorithm (machine learning). R: at least three packages offer Bayesian...
52 KB (6,606 words) - 18:23, 8 August 2024