美 英 un.熵极小化 网络熵最小化 英汉 网络释义 un. 1. 熵极小化
将具有最大预测概率的类作为伪标签。形式化后等价于熵正则化(Entropy Regularization)或熵最小化(Entropy Minimization). 根据半监督学习的假设,决策边界应该尽可能通过数据较为稀疏的区域,即低密度区域,从而避免把密集的样本数据点分到决策边界的两侧,也就是说模型需要对未标记数据做出低熵预测,即熵最小化。伪标签方...
伪标签方法在半监督学习中，通过利用未标记数据与标记数据共同训练，提高模型泛化性能。其核心思想是将具有最大预测概率的类作为伪标签。这等同于熵最小化（Entropy Minimization）或熵正则化（Entropy Regularization），即通过减少未标记数据的预测不确定性，使决策边界更适应数据分布，从而减少类重叠，提高类...
pytorch的Entropy Minimization (EM) 的实现 def(p_logit): p=F.softmax(p_logit,1) return-1*torch.sum(p*F.log_softmax(p_logit,dim=-1))/p_logit.size()[0] 1. 2. 3. 4. 对应公式: 其中m的样本量,K是类别数,
3) Joint information minimization 联合熵最小化 4) minimum cross-entropy optimization 最小叉熵优化 1. Solution ofminimum cross-entropy optimizationproblems with cross-entropy constraints; 带有叉熵约束的最小叉熵优化问题的求解 更多例句>> 5) minimizing entropies in economy ...
We find that, under common training procedures, the emergent languages are subject to an entropy minimization pressure that has also been detected in human language, whereby the mutual information between the communicating agent's inputs and the messages is minimized, within the range afforded by ...
Entropy Generation Minimization 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 熵产生最小化 翻译结果2复制译文编辑译文朗读译文返回顶部...
aSpringer. 2nd edition.[translate] aBerkeley Symposium, 281–297.[translate] aInfo. Processing Systems (NIPS 1998).[translate] aclustering: Analysis and an algorithm. Proc. Neural[translate] aentropy minimization. Ph.D Thesis. Carnegie-[translate]...
The D-entropy minimization corresponds to both mutual information maximization and minimization. Thus, the method can be used to interpret explicitly internal representations and to improve generalization. The D-entropy minimization was applied to two problems: six alphabet character recognition and the ...
Semi-supervised training of Gaussian mixture models by conditional entropy minimization. In this paper, we propose a new semi-supervised training method for Gaussian Mixture Models. We add a conditional entropy minimizer to the maximum mutual information criteria, which enables to incorporate unlabeled ...