1) observation vector sequence
观察矢量序列
3) 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。
4) sequence property vector
序列特征矢量
1.
Based on the distance between each amino acid side chain and on the electric property of each amino acid side chain, a new set of descriptors called sequence property vector (ζ,in short) is developed from the primary structures of peptides to describe the peptide structure and each amino acid side chain is seen as a pseudo atom.
从多肽序列的一级结构出发,将各氨基酸侧链看成一个整体即拟原子,并基于多肽序列中氨基酸侧链间距离和氨基酸侧链的电性特征,构建了能描述多肽序列结构特征的序列特征矢量,简称ζ矢量。
5) dependence of observable sequences
可观察序列的相依性
6) fuzzy observation sysbolic sequence
模糊观察符号序列
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。
参考词条