For example, given a sequence of trials, if there is an algorithm in the pool A that makes at most m mistakes then the Weighted Majority Algorithm will make at most c(log |A| + m) mistakes on that sequence, where c is fixed constant....
2012. The weighted majority algorithm does not converge in nearly zero-sum games. In Proceedings of the ICML Workshop on Markets, Mechanisms and Multi-Agent Models.Maria-Florina Balcan, Florin Constantin, and Ruta Mehta. The weighted majority al- gorithm does not converge in nearly zero-sum ...
It is called the weighted majority algorithm and is shown to be robust with respect to errors in the data. Various versions of the weighted majority algorithm are discussed, and error bounds for them that are closely related to the error bounds of the best algorithms of the pool are proved ...
http://scholar.google.com/scholar?q=%22The+weighted+majority+algorithm%22+1989 http://dl.acm.org/citation.cfm?id=1398514.1398700&preflayout=flat#citedby Quotes Author Keywords error bounds;weighted majority algorithm;prediction algorithms;weighted voting ...
Cascading Randomized Weighted Majority: A New Online Ensemble Learning Algorithm With the increasing volume of data in the world, the best approach for learning from this data is to exploit an online learning algorithm. Online ensemble ... M Zamani,H Beigy,A Shaban - arXiv e-prints 被引量:...
Also, a polynomial time algorithm is presented here, which accepts as inputs the minimal winning coalitions for a decisive simple game and produces as output either a quota weights vector which represent the game or a proof that the game is not a weighted majority game. 被引量: 2 年份: ...
Given this constraint, the accuracy of the widely used COMPAS algorithm (General Recidivism Risk Scale, any offence) is lower than that of the credit scoring algorithms, with an AUC of 0.6843. This is lower than the AUCWeightedMean = 0.75 (SD = 0.19) that we calculated based on ...
We show that Entropy-SGD (Chaudhari et al., 2017), when viewed as a learning algorithm, optimizes a PAC-Bayes bound on the risk of a Gibbs (posterior) clas... GK Dziugaite 被引量: 4发表: 2017年 VC Theory Conclusion / PAC-Bayes Intro PAC-Bayes to prove bounds on therisk of the...
(2004) algorithm. In the tit mixed-species flock network, the majority of bootstrap replicates contained the same number of social communities as the empirical network, reflecting the high degree of robustness of the empirical community structure. However, in both the sparrow and thornbill networks...
Ahmadianfar I, Heidari AA, Gandomi AH, Chu X, Chen H (2021) RUN beyond the metaphor: an efficient optimization algorithm based on Runge Kutta method. Expert Syst Appl 181:1–22. https://doi.org/10.1016/j.eswa.2021.115079 Akbari H, Yuan L, Qian R, Chuang WH, Chang SF, Cui Y, Gong...