Bayes-optimal. 青云英语翻译 请在下面的文本框内输入文字,然后点击开始翻译按钮进行翻译,如果您看不到结果,请重新翻译! 翻译结果1翻译结果2翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 贝叶斯最优。 翻译结果2复制译文编辑译文朗读译文返回顶部...
Bayes-Optimal Entropy Pursuit for Active Choice-Based Preference LearningPeter I. FrazierShane G. HendersonStephen N. Pallone
因此就有了贝叶斯判定准则(Bayes decision rule):为最小化总体风险,只需要在每个样本上选择使得那个样本条件风险最小的类别标记: 此时h* 叫做“贝叶斯最优分类器(Bayes optimal classfier)”,与之对应的总体风险R*叫做“贝叶斯风险(BR)”。 如果损失函数 \lambda 取0-1函数,则有: 即把上面的最小化条件风险问题...
理解Bayes optimal error 贝叶斯最优误差 技术标签:机器学习数据挖掘 查看原文 softmax回归+深度学习框架 softmax回归 a[l]=ez[l]/sum(ti) 训练一个softmax分类器 深度学习框架 正交化 满足和优化指标 训练-开发-测试集划分什么时候该改变开发——测试集和指标贝叶斯最优误差,贝叶斯最佳误差或幝斯错误是理论最佳 ...
aAssume the true probability distribution of each class is known. 假设每类的真实的概率分布被知道。[translate] aOutput the class which maximizes Bayes-optimal.[translate]
BayesOptimalHyperplanesMaximalMarginHyperplanesSimonTongsimon.tong@cs.stanford.eduComputerScienceDepartmentStanfordUniversityDaphneKoller..
Under certain noise assumptions, we show that the Bayes-optimal policy for maximally reducing entropy of the posterior distribution of this linear classifier is a greedy policy, and that this policy achieves a linear lower bound when alternatives can be constructed from the continuum. Further, we ...
摘要: This paper addresses the effective display of noisy vector-valued image data. A new game- theoretic model of a human observer in a visualization task is developed, and used to derive optimal algorithms for the display of a maximally informative fused monochrome image.关键词:...
Bayes optimal label transition matrix 的定义为T∗(X)=P(Y^|Y∗,X)。 作者认为估计BLTM (Bayes optimal Label Transition Matrix) 而非 CLTM (Clean Label Transition Matrix)有两个优势。 1)通过现有的方法,可以得到贝叶斯最优标记有理论保证的样本集合 ()(X,Y∗);2)由于Bayes-optimal label 是one...
In this paper we analyze the average off-training-set behavior of the Bayes-optimal and Gibbs learning algorithms. We do this by exploiting the concept of "refinement," which concerns the relationship between probability distributions. For non-uniform sampling distributions the expected off-training-...