Sentence examples for optimize the weighted from inspiring English sources
In this way we improve the grey correlation method to analyze the correlation between variables and obtain the new weight to optimize the weighted BN.
The crux of this scalarization method is to optimize the weighted sum of the two objectives with different weight vectors.
Our next task entails estimating the divergence times at internal nodes of each of the strain-tree topology candidates that we computed so as to optimize the weighted sum criterion, as described above.
Optimizing the weighted sum of objectives is a scalarization technique to solve multi-criteria optimization problems.
Lasdon et al. (1986) maximized the deliverability of a gas reservoir at a specified time, minimized the total gas withdrawal shortfall between the demand schedule and the amount of gas that can actually be delivered in each month, and they also optimized the weighted combinations of the above two objectives.
Like the way we introduce weighting information into PV-DBOW, we can optimize the following weighted objective function: begin{aligned} sum ^{|T|}_{i=1}sum ^{|t_{i}|}_{j=1}mathrm{Weight}(w_{ij} mathrm{log}P(w_{ij}|w^mathrm{context}_{ij}) end{aligned} (5 An alternative of introducing weighting information into PV-DM is to change the representation of (w^mathrm{context}).
Specifically, a symmetric weight-boosting method was developed to optimize the instance-weighted SVM.
To estimate the real vesicle diameter distribution in our study, we modelled the overall vesicle size distribution using the weighted contributions of coexisting vesicle subpopulations, optimizing the weighting by least-squares linear regression to fit the observed data.
More specifically, we focus on choosing a set of jobs to reject and constructing a schedule for the remaining jobs so as to optimize the sum of the weighted completion times of the jobs scheduled plus the sum of the penalties of the jobs rejected.
By optimizing the above weighted objective, the conditional probabilities of words with large weights will have more proportions to the entire objective.
In RKH-LSVR, the RKH optimizes the locally weighted Support Vector Regression (LSVR) parameters by balancing the search between local and global optima.
