1) dependence of observable sequences
可观察序列的相依性
3) dependent sequence
相依序列
1.
Meanwhile under some restricted conditions,extremes with random sample size for dependent sequences are also obtained.
把极值类型定理中的n次方进一步推广成U(n)次方,其中U(n)是正则变化函数,它的指数大于零;同时通过一定的限制,得到相依序列随机样本的极值。
4) multiple observations
多观察序列
1.
This paper proposes a HMM training algorithm which is based on grouping multiple observations by multiple correlation coefficient .
在用多观察序列训练HMM理论的基础上,提出了一种基于对多观察序列按多相关系数分组的HMM训练算法(简称基于多相关分组的HMM训练算法)。
2.
This paper proposes a theoretical justification of the multiple observations HMMs training algorithm that does not impose the observation independence assumption and shows that the traditional BaumWelch algorithm is only a spec.
本文在不附加任何假设的前提下,提出了一种用多观察序列训练HMM的算法,从理论上解决了上述问题。
补充资料:观察(见科学观察)
观察(见科学观察)
observation
吝。guaneho观察(observation)见科学观
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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