Results 21 to 30 of about 7,565,346 (362)
Diagnosing a Strong-Fault Model by Conflict and Consistency [PDF]
Sensors, 2018 The diagnosis method for a weak-fault model with only normal behaviors of each component has evolved over decades. However, many systems now demand a strong-fault models, the fault modes of which have specific behaviors as well.
Wenfeng Zhang +4 more
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Data-driven multinomial random forest: a new random forest variant with strong consistency [PDF]
Journal of Big DataIn this paper, we modify the proof methods of some previously weakly consistent variants of random forest into strongly consistent proof methods, and improve the data utilization of these variants in order to obtain better theoretical properties and ...
JunHao Chen, XueLi Wang, Fei Lei
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Strong Consistency of Certain Sequential Estimators [PDF]
The Annals of Mathematical Statistics, 1969 Motivated by Loynes' (1969) treatment of (weak) consistency of sequential estimators, we establish here some allied results on strong consistency. The strengthened conclusion is achieved by imposing further restrictions, so that our results are not as broadly applicable as Loynes'.
Robert H. Berk
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Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds. [PDF]
Ann Inst Stat Math, 2012 Bhattacharya A, Dunson DB.
europepmc +2 more sources
Condorcet Consistency and the strong no show paradoxes [PDF]
Mathematical Social Sciences, 2019 We identify the maximal voting correspondence which is Condorcet Consistent and satisfies two participation conditions, namely the Top Property and the Bottom Property thereby extending a result in Perez (2001). The former participation condition says that if an alternative is in the chosen set at a profile of rankings and a ranking is added with that ...
L. Kasper, Hans Peters, Dries Vermeulen
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Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2022 In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image serves as supervision for its strongly perturbed version.
Lihe Yang +4 more
semanticscholar +1 more source
On Strong Consistency of Density Estimates [PDF]
The Annals of Mathematical Statistics, 1969 Let $X_1, X_2, \cdots, X_n$, be a sample of $n$ independent observations of a random variable $X$ with distribution $F(x) = F(x_1, \cdots, x_m)$ or $R^m$ and Lebesgue density $f(x) = f(x_1, \cdots, x_m)$. To estimate the density $f(x)$ consider estimates of the form \begin{equation*} \tag{1} f_n(x) = n^{-1} \sum^n_{j=1} K_n(x, X_j),\quad K_n(x, X_j ...
John Van Ryzin
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Scalable Strong Consistency for Web Applications [PDF]
Proceedings of the 11th workshop on ACM SIGOPS European workshop, 2004 Web application workloads are often characterized by a large number of unique read requests and a significant fraction of write requests. Hosting these applications drives the need for the next generation CDN architecture that does more than caching the results of Web applications but replicates both the application code and its underlying data.
Pierre, G.E.O. +2 more
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Statistical Theory and Related FieldsThis paper studies the kernel-type distribution estimator based on asymptotically almost negatively associated (AANA, for short) samples. The rate of uniformly strong consistency is established under some mild conditions.
Shipeng Wu +3 more
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Strong Consistency of $K$-Means Clustering
The Annals of Statistics, 1981 A random sample is divided into the $k$ clusters that minimise the within cluster sum of squares. Conditions are found that ensure the almost sure convergence, as the sample size increases, of the set of means of the $k$ clusters. The result is proved for a more general clustering criterion.
David Pollard
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