搜索结果: 1-15 共查到“Bayes B”相关记录201条 . 查询时间(0.133 秒)
Template Attack vs Bayes Classifier
Template attack Supervised machine learning Bayes classifier
2017/6/8
Side-channel attacks represent one of the most powerful category of attacks on cryptographic devices with profiled attacks in a promi- nent place as the most powerful among them. Indeed, for instance,...
昆明理工大学理学院概率论与数理统计课件Chapter 1 The Axioms of Probability--Bayes Theorem
昆明理工大学理学院 概率论与数理统计 课件 Chapter 1 The Axioms of Probability Bayes Theorem
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 1 The Axioms of Probability--Bayes Theorem.
助飞反潜鱼雷落点精度的Bayes评估方法
助飞反潜鱼雷 落点精度 Bayes方法 定位误差
2018/1/6
针对助飞反潜鱼雷落点精度指标特点(采用标准方差σ表示）以及评估该指标过程中遇到的本舰定位误差过大的实际问题，提出对该指标采用验前信息的二项分布Bayes假设检验方法进行综合评定；采用数据预处理方法将舰位定位偏差分离。算例表明：该方法能有效利用试验数据，对助飞反潜鱼雷落点精度指标进行科学充分的评定和估算。
调整型Bayes序贯验后加权战术导弹批抽检方法
调整型抽样检验 序贯验后加权检验 战术导弹 连续批
2017/11/8
针对战术导弹批抽检为连续批、批量小的特点，结合Bayes理论，融入调整型检验的思想，提出了一种基于调整型序贯验后加权检验的战术导弹批抽检方法；该方法结合指标的先验信息，依据比例系数调整双方风险，预先设定3种宽严不同的序贯验后加权抽样检验方案，有效利用历史检验批的抽检结果；算例结果证明：该方法能适用于小子样条件下的战术导弹批抽检。
Varying Naive Bayes Models with Applications toClassi cation of Chinese Text Documents
BIC Chinese Document Classification Screening Consistency
2016/1/25
Document classification is an area of great importance for which many clas-sification methods have been well developed. However, most of these methods cannot generate time-dependent classification rul...
Testing the statistical significance of an ultra-high-dimensional naïve Bayes classfier
Binary Predictor Hypothesis Testing Na?ve Bayes Supervised Learning
2016/1/25
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional (UHD) setup is not well unders...
Varying Naive Bayes Models with Applications toClassi cation of Chinese Text Documents
BIC Chinese Document Classification Screening Consistency Time-dependent Classification Rule
2016/1/20
Document classification is an area of great importance for which many clas-sification methods have been well developed. However, most of these methods cannot generate time-dependent classification rul...
Testing the statistical significance of an ultra-high-dimensional naïve Bayes classfier
Binary Predictor Hypothesis Testing Na?ve Bayes Supervised Learning
2016/1/20
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional(UHD) setup is not well underst...
TEXTURE CLASSIFICATION OF AERIAL IMAGE BASED ON BAYESIAN NETWORK AUGMENTED NAIVE BAYES
Texture Classification Pattern Recognition Aerial Image
2015/12/31
Classification is an open, old and basic problem in many domains. Recently, a lot of new methods come forth, such as Bayesian Networks. Bayesian Networks, one of probabilistic networks, are a powerful...
Minimax Bayes, asymptotic minimax and sparse wavelet priors
Minimax Decision theory Minimax Bayes estimation
2015/8/20
Pinsker(1980) gave a precise asymptotic evaluation of the minimax mean squared
error of estimation of a signal in Gaussian noise when the signal is known a priori
to lie in a compact ellipsoid in Hi...
This paper explores a class of empirical Bayes methods for levedependent threshold selection in wavelet shrinkage. The prior considered
for each wavelet coefficient is a mixture of an atom of p...
NEEDLES AND STRAW IN HAYSTACKS: EMPIRICAL BAYES ESTIMATES OF POSSIBLY SPARSE SEQUENCES
HAYSTACKS NEEDLES AND STRAW
2015/8/20
An empirical Bayes approach to the estimation of possibly sparse
sequences observed in Gaussian white noise is set out and investigated. The
prior considered is a mixture of an atom of probability a...
Two modeling strategies for empirical Bayes estimation
f-modeling g-modeling Bayes rule in terms of f
2015/8/20
Empirical Bayes methods use the data from parallel experiments, for instance observtions Xk N (k;1) for k = 1;2; : : : ; N, to estimate the conditional distributions kjXk.
There are two main estima...
This article is intended as an expositional overview of empirical Bayes modeling
methodology, presented in a simpli ed framework that reduces technical diculties. The
two principal empirical Bayes ...
Empirical Bayes Estimates for Large-Scale Prediction Problems
microarray prediction empirical Bayes shrunken centroids
2015/8/20
Classical prediction methods such as Fisher's linear discriminant function were designed for
small-scale problems, where the number of predictors N is much smaller than the number of
observations n....