نتایج جستجو برای: linearly increasing variance
تعداد نتایج: 620283 فیلتر نتایج به سال:
Racing algorithms are iterative methods for identifying the best among several options with high probability. The quality of each option is a random variable. It is estimated by its empirical mean and concentration bounds obtained from repeated sampling. In each iteration of a standard racing algorithm each promising option is reevaluated once before being statistically compared with its compet...
The present paper explores a state of art for earlier diagnosis using image analysis. Authors attempted to show that fractal dimension (FD) of image feature could be adopted as alternative diagnostic parameter to detect glaucoma using state of art. At presents conventional approach to detect glaucoma ophthalmologist are using clinical parameter cup to disk ratio (CDR) which involves with lot hu...
Tornadoes cause loss of life and damage to property each year in the United States and around the world. The largest impacts come from 'outbreaks' consisting of multiple tornadoes closely spaced in time. Here we find an upward trend in the annual mean number of tornadoes per US tornado outbreak for the period 1954-2014. Moreover, the variance of this quantity is increasing more than four times ...
A Stochastic Variance Reduced Primal Dual Fixed Point Method for Linearly Constrained Separable Optimization
It was recently discovered by Baik, Deift and Johansson [4] that the asymptotic distribution of the length of the longest increasing subsequence in a permutation chosen uniformly at random from Sn, properly centred and normalised, is the same as the asymptotic distribution of the largest eigenvalue of an n × n GUE random matrix, properly centred and normalised, as n → ∞. This distribution had e...
In a famous paper 8] Hammersley investigated the length L n of the longest increasing subsequence of a random n-permutation. Implicit in that paper is a certain one-dimensional continuous-space interacting particle process. By studying a hydrodynamical limit for Hammersley's process we show by fairly \soft" arguments that limn ?1=2 EL n = 2. This is a known result, but previous proofs (Vershik-...
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