抽样方法(sampling method), 又或者称蒙特卡洛方法: Monte Carlo(MC) methods, 是我们在贝叶斯统计,因果推断, 机器学习近似推断, 强化学习中经常遇到的方法。MC methods本身可以看成是一系列抽样工具方法的集合,其基本思想是使用随机化(randomness)来解决一个确定的问题。给定数据或
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two new minority over-sampling methods, borderline-SMOTE1 and borderline-SMOTE2, in which only the minority examples near the borderline are over-sampled. For the minority class, experiments show that our approaches achieve better TP rate and F-value than SMOTE and random over-sampling methods. ...
In this article, nonparametric variants of both the self-normalized and the unnormalized importance sampling estimator are proposed and investigated. A common critique of nonparametric importance sampling is the increased computational burden compared with parametric methods. We solve this problem to a ...
N. Scalable iterative methods for sampling from massive Gaussian random vectors, December 2013. arXiv:1312.1476.Daniel P. Simpson, Ian W. Turner, Christopher M. Strickland, and Anthony N. Pettitt. Scalable iterative methods for sampling from massive Gaussian random vectors. arXiv:1312.1476 [math,...
(2007), "Exact Bayesian variable sampling plans for exponential distribution under Type-I censoring," In: Mathematical Methods for Survival Analysis, Reliability and Quality of Life (Eds., C. Huber, N. Limnios, M. Mesbah and M. Nikulin), pp. 155 - 166, Hermes, London, UK....
Mathematical Methods in the Applied SciencesG. HU AND B. ZHANG, The linear sampling method for inverse electromagnetic scattering by a partially coated bi-periodic structures, Math. Meth. Appl. Sci., 34 (2011), pp. 509-519.Hu G and Zhang B 2011 The linear sampling method for inverse ...