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- probabilistic SVMs 概率支持向量机
- Oil exploration is inherently probabilistic. 石油勘探本来就是带有概率性的。
- Finally, we discuss the Bayesian interpretation of RNs and SVMs. 最后,我们将讨论调控网路的贝斯定理和支持向量机的相关补充。
- To the problem that the standard SVM does not provide probabilities output, the probabilistic outputs for support vector machines is modeled based on the maximum entropy estimation. 针对传统的支持向量机方法不能提供后验概率的输出问题,从信息熵的角度采用最大熵估计方法,直接对支持向量机输出进行后验概率建模。
- Ride Quality of Civil Aircraft from a Probabilistic Viewpoint. 从概率观点看民用飞机的飞行品质。
- Firstly, the principle of MADM based on SVM is discussed. 首先,分析了多属性决策支持向量机方法的原理。
- A variation of LSI is called probabilistic latent semantic. 集成电路是一种变异称为概率潜在语义。
- Instead of repeatable results, outcomes are merely probabilistic. 没有可重复的结局,有的只是随机而生的结果。
- Then, the implementation algorithm of MADM using SVM is presented. 然后,提出了多属性决策支持向量机方法的实现算法。
- Fuzzy Hypersphere SVM algorithm is presented in the paper. 提出了模糊超球支持向量机算法。
- Facial feature selection method based on SVM RFE[J]. 引用该论文 李伟红;龚卫国;陈伟民;梁毅雄;尹克重.
- The multiclass SVM methods based on binary tree are proposed. 摘要提出一种新的基于二叉树结构的支持向量(SVM)多类分类算法。
- This example demonstrates how to use WEKA s SVMs classifier in Matlab. (译):这个例子演示了如何使用WEKA县支持向量机分类器在Matlab 。
- Brinkmanship is the creation and deployment of such a probabilistic threat. 边缘政策就是这样一种概率威胁的创造和使用。
- A method to TRM calculation based on probabilistic model is presented. 讨论了TRM和CBM两种裕度的含义,给出计算TRM的随机模型。
- Multi-ensor Joint Probabilistic Data Association(MSJPDA) was presented. 概述了多传感器数据融合系统中的联合概率数据互联算法,给出了MSJPDA的两种处理结构,分析了其算法的复杂度。
- The future research direction of SVM learning algorithms were proposed. 最后指出了学习算法的研究方向。
- Firstly, the algorithm of SVM in regression approximation is introduced. 首先,介绍了支持向量回归估计的学习算法。
- BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM. 球向量机是一种比SVM更快的机器学习方法。
- Most of the methods developed so far are deterministic and /or probabilistic in nature. 目前提出的多数方法本质上是确定性的并且/或者是盖然论的。