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Baum相关的网络例句
与 Baum 相关的网络例句 [注:此内容来源于网络,仅供参考]

Yu introduced in 1997 the localization Roe algebras , and shown that, to attack the Coarse Baum-Connes Conjecture, it suffices to prove that the local index map is an isomorphism from the coarse K-homology to the K-theory of the localization Roe algebras.

Yu受热方程方法的启发,引入局部化Roe代数,把粗Baum-Connes猜测的证明归结为证明从粗化K-同调群到局部化Roe代数的K-理论群的局部指标映射为同构。

To fight with it, we explore availability of such schemes as matrix game for MEE criterion, and propose simple proof for Baum-Eagon theorem.

为此,作者探讨了解决损失函数连续化问题方法,如矩阵对策,提出了一种简化Baum-Eagon定理证明的方法。

Because the collections of observations corresponding to different states are mutually disjoint, the parameters of the models can be estimated by a sequence matching algorithm which is much simpler than the classical Baum-Welch algorithm. This reduces the computational complexity to a great extent.

由于模型中各状态对应的观测值集合互不相交,模型训练中采用了运算量较小的的序列匹配方法,与传统的Baum-Welch算法相比,大大减小了训练时间。

Taking account of the characteristics of WSN, the Baum-Welch algorithm is extended to design a complex event recognition algorithm that is discussed in detail for the state constraints and the way to process the observation window.

针对无线传感网络的特点,通过对Baum-Welch算法进行扩展,设计了一种节点事件识别算法。详细论述了该算法中状态约束、观察窗口的处理方法。

Second, we research the Baum-Welch algorithm of modified HMM and derive the update parametric estimation equations for modified HMM based on traditional HMM.

其次,在传统的隐马尔可夫模型的基础上,研究了改进的模型的前向-后向算法和Baum-Welch算法,并导出了改进的模型的参数估计公式。

Its main goal is to explore information relating to the large-scale geometrical structure of proper metric spaces, including noncompact complete Riemannian manifolds, finitely generated groups, etc., so as to establish connections among geometry, topology and analysis of the geometric spaces, and furthermore, to solve other important problems such as the Novikov conjecture, the Baum-Connes conjucture, the Gromov-Lawson-Rosenberg conjecture on positive scalar curvature and so on.

其主要目标是通过几何空间(如非紧完备黎曼流形、有限生成群等)大尺度几何结构的信息,建立几何空间的几何、拓扑与分析之间的联系,并应用于解决其他重要问题,如Novikov猜测、Baum-Connes猜测, Gromov-Lawson-Rosenberg正标量曲率猜测等。

Chapter 6 is contributed to studying the convergence properties of pariwise NQD random sequences. We extend the Kolomogrov-type inequality, Baum and Katz complete convergence, the three series theorem, Marcinkiewicz strong law of large number and Jamison theorem.

第六章研究两两NQD列的收敛性质,首先给出两两NQD列的Kolmogorov型不等式,进而讨论它的若干收敛性质,获得了与独立情形一样的Baum和Katz完全收敛定理;几乎达到独立情形著名的Marcinkiewicz强大数定律,三级数定理,推广了著名的Jamison定理。

Baum: You can't draw conclusions from the Florence study that would apply to the rest of the world. The U.S. has the highest mastectomy rate worldwide. Overemphasizing the results and conclusions from this study and using them to shape screening policy elsewhere is a cheap trick.

Dr。 Baum:你不能将在佛罗伦斯研究所得的结果推论至以外的地区,美国是全世界乳房切除术比率最高的,过分强调从这项研究所获得结果和结论,并利用它们规范其他地区的筛检策略,简直如同儿戏。

In the given observation sequence, optimizing every model with Viterbi algorithm, with baum-welch algorithm to re-estimate parameter, and the re-estimation formula is also provided.

在给定的观测序列中每一种模型的优化路径通过Viterbi算法实现,用Baum-Welch算法实现参数重估,并给出了重估公式。

Analyze: due to different duration of speech materials for training, Baum auxiliary function results in that larger duration indicates the smaller output probability likelihood, that is, speech signals of different duration contributes differently according to re-estimation formulas.

分析:由于训练语料不同的时长,Baum辅助函数的引入使得时长较长的语料具有较小的输出概率似然,导致不同时长的训练语料对模型训练的贡献不同。

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