Sentence examples for mixture component and from inspiring English sources

where h* i) is the index of the part that matches feature i of the observed object, K h * i p is the number of mixture components, α h * i, m p is the weight of the m th mixture component, and μ h * i, m p and Σ h * i, m p are the mean vector and covariance matrix of the m th Gaussian component, respectively.

where h* i) is the index of the part that matches feature i of the observed object, K h * i s is the number of mixture components, α h * i, m s is the weight of the m th mixture component, and μ h * i, m s and Σ h * i, m s are the mean vector and covariance matrix of the m th Gaussian component, respectively.

The first six samples collected between 0 and 150 minutes were assigned to one mixture component and six samples obtained from 240 to 390 minutes were assigned to the other mixture component.

For example, we can first evaluate the subset of all adjusted count pairs that are classified into the first Poisson mixture component and also labeled as reads from the 3' UTR.

The identification and interpretation of general and condition-dependent gene co-regulation patterns, using the odds that observations pertain to each mixture component, and the mixture component parameter estimates presented for the gene Cyc sub-network can be repeated for all other genes in the network.

Fitting of the folded Skellam mixture model only used the 10702 SNPs in 3' UTR We fit the folded Skellam mixture model to the adjusted read pairs classified into the first Poisson mixture component, and only use SNPs on the 3' UTR.

So the cluster in in the Bayesian framework, clustering corresponds to assigning these data points to particular mixture components, and at the same time, figuring out what the parameters of those mixture components are.

This modification takes into account the interaction between binary mixture components and an adsorbent.

A comprehensive database is collected from the literature to cover a wide range of mixture components and mix proportions.

I'm going to gloss over the problem of learning the parameters of the mixture components, and just talk right now about how do you infer the assignment of data points which I'll denote by x to clusters or mixture components, which I'll denote by z.

In many industrial processes with mixtures, the end-product quality depends both on the proportions of the mixture components and on the levels of the process variables.