bayes solution
- bayes solution的基本解释
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贝叶斯解
- 更多网络例句与bayes solution相关的网络例句 [注：此内容来源于网络，仅供参考]
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In most cases, Bayes solution based on the mean of the posterior distribution will be better than the traditional one.
在大多数情况下，基于后验分布的贝叶斯解会优于传统解。
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The computational load of approximating the Bayes solution is lightened greatly by taking advantage of Markov chain Monte Carlo method.
同时，本文提出的方法还具有软输入软输出的特点，可以方便的与纠错编码相结合进一步提高接收机检测性能。
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Several important concepts like expected and empirical risks, target and hypothesis spaces, and Bayes optimal solution are either introduced or revisited in the light of statistical learning theory.
由于实例学习法会牵涉到严密的机率架构问题，因此许多重要的观念，如预期和经验风险，标的与假设空间以及贝斯最佳解式将被介绍，或是以统计学的观点再次回顾。
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Under weighted squared error loss, it is showed that a least favorable prior, when estimators are restricted to be polynomials of X with degree no more than k, exists and has at most (k+2)-point support, and its Bayes solution, under above restriction, is a k/sup th/ polynomial minimax estimator.
是观测值X的期望值，在X的多项式函数中，於加权平方误差损失之下，本文考虑使其最大风险最小化的多项式大中取小估计式。
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Minimax estimator;Bayes solution;Poisson mean;Restricted space;K-normalized squared error loss;Linear minimax estimator;Weighted squared error loss
中文关键字大中取小估计式；贝氏解；卜阿松分布平均数；限制参数空间；K-正规化平方误差损失；线性大中取小估计式；加权平方误差损失
- 更多网络解释与bayes solution相关的网络解释 [注：此内容来源于网络，仅供参考]
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bayes solution：贝叶斯解
bayes postulate 贝叶斯公设 | bayes solution 贝叶斯解 | behavior 行为
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bayes solution：贝氏解
贝氏规则 Bayes rule | 贝氏解 Bayes solution | 贝氏策略 Bayes strategy