Bayes Optimality of Wavelet-Based DiscriminationChang, WoojinKim, SeongheeVidakovic, Brani
Cheng, "Approximative Bayes optimality linear discrimi- nant analysis for Chinese handwriting character recognition," Neurocom- puting, vol. 207, pp. 346-353, 2016.C. Yao and G. Cheng, "Approximative Bayes optimality linear discrim- inant analysis for Chinese handwriting character recognition," ...
Various optimality properties of universal sequence predictors based on Bayes-mixtures in general, and Solomonoff's prediction scheme in particular, will be studied. The probability of observing xt at time t, given past observations x1... M Hutter,I Galleria,P Bartlett 被引量: 66发表: 2003年...
On the Bayes-optimality of F-measure maximizers Willem Waegeman,Krzysztof Dembczynski,Arkadiusz Jachnik,Weiwei Cheng,Eyke Hullermeier Full-Text Cite this paper Add to My Lib Abstract: The F-measure, which has originally been introduced in information retrieval, is nowadays routinely used as ...
Domingos, Pedro; Pazzani, Michael.On the optimality of the simple Bayesian classifier under zero-one loss.Machine Learning. 1997, 29: 103–137. Webb, G. I.; Boughton, J.; Wang, Z.Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning (Springer). 2005, 58 (1): 5...
Robust Bayes and minimax-Bayes estimation and design in linear regressionWe consider the problem of the choice of an estimator and an experimental design for estimating the response surface in a linear regression model according to Bayes-and minimax-Bayes-optimality. The well-known Bayes estimator w...
In this paper, the robustness of Bayes linear unbiased esti-mator of the regression coefficients in the linear model in terms of error covariance and prior distributions are discussed, and the necessary and sufficient conditions for Bayes linear unbiased estimator holding it...
The mysterious optimality of Naive Bayes: Estimation of the probability in the system of “classifiers” O. Kupervasser, The mysterious optimality of Naive Bayes: Estimation of the probability in the system of "classifiers", Pattern Recognition and Image ... O Kupervasser - 《Pattern Recognition...
asymptotic optimalityempirical BayesIn an empirical Bayes decision problem, a prior distribution ± is placed on a one-dimensfonal family G of priors Gw, w, to produce a Bayes empirical Bayes estimator, The asymptotic optimaiity of the Bayes estimator is established when the support of ± is ...
关键词:纵向数据;线性指数分布;经验Bayes;渐近最优性;收敛速度; Longitudinal Data; Linear Exponential Distribution; Empirical Bayes Test; Asymptotic Optimality; Convergence Rate 1. 引言 自John 和Ryzin 分别对独立同分布( )样本情形的离散型和连续型指数族 提出经验贝叶斯(EB)检验方法以来,经过国内外学者的致力...