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中国科学院数学与系统科学研究院李雷研究团队的成果“基因组拼接的新方法—BAUM”入选2018年度“中国生物信息学十大进展”（图）
中国科学院数学与系统科学研究院 基因组 拼接方法 BAUM 2018年度
2019/2/26
近日，我院李雷研究团队发表于《生物信息学》期刊的文章“BAUM: improving genome assembly by adaptive unique mapping and local overlap-layout-consensus approach”，经《基因组蛋白质组与生物信息学报》，简称GPB（Genomics, Proteomics and Bioinformatics）评审，入选...
EXTENDED BAUM TRANSFORMATIONS FOR GENERAL FUNCTIONS, II
Multidimensional Multivariate Gaussuan Mixture Extended Baum-Welch transformations discriminative training estimation of statistical parameters maximum mutual informaiton estimation
2015/7/30
The discrimination technique for estimating the parameters of Gaussian mixtures that is based on the Extended Baum transformations (EB) has had significant impact on the speech recognition community. ...
Generalization of Extended Baum-Welch Parameter Estimation for Discriminative Training and Decoding
Extended Baum-Welch optimization speech
2015/7/28
We demonstrate the generalizability of the Extended Baum-Welch (EBW) algorithm not only for HMM parameter estimation but for decoding as well. We show that there can exist a general function associate...
On the Relationship between the Baum-Katz-Spitzer Complete Convergence Theorem and the Law of the Iterated Logarithm
partial sums of i.i.d. Banach space-valued random variables Baum--Katz--Spitzer complete convergence theorem law of the iterated logarithm almost sure convergence
2007/12/11
For a sequence of i.i.d. Banach space-valued random variables $\{X_{n}; ~n \geq 1 \}$ and a sequence of positive constants $\{a_{n}; ~n \geq 1 \}$, the relationship between the Baum--Katz--Spitzer com...
A SUPPLEMENT TO THE BAUM-KATZ-SPITZER COMPLETE CONVERGENCE THEOREM
partial sums of i.i.d. Banach space valued random variables Baum--Katz--Spitzer complete convergence theorem almost sure convergence
2007/12/11
Let $ \{X,~X_{n};~n \geq 1 \}$ be a sequence of i.i.d. Banach space valued random variables and let $\{a_{n}; ~n \geq 1 \}$ be a sequence of positive constants such that \[ a_{n} \uparrow \infty ~~\mb...
介绍了在观测噪声和马尔可夫链不相互独立的条件下混合二阶隐马尔可夫模型(HMM2)的结构.然后,研究了新模型的Baum-Welch算法,并导出了新模型的参数估计公式.