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In this paper, we discussed the improved Dai-Kou type conjugate gradient methods only using gradient information.
According to the boundary characteristics of HVDC line, some protection methods only using one-end information are proposed in [9 12].
Figure 11 and Table 2 illustrate that the proposed method for the multi-objective fitness function is more accurate than the other two methods only using the CDF or secondary order moment autocorrelation (SecMo) fitness function separately.
When both β1=0 and β2=0, the random walk are performed independently on X, which is equivalent to existing graph-based semi-supervised learning methods only using the data graph X.
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Some methods only use one or two statistics that are closely linked with data (Huenemann 2001).
Existing evaluation methods only use the review voting ratios given by customers to measure helpfulness.
For this reestimation the current methods only use data of those patients that have concluded the whole study.
On the other hand, range-free methods only use parameters readily available at the PHY layer level that are only loosely related to the position of the node.
Exact physical models are too complex to provide feasible prediction tools and other ab initio methods only use local and probabilistic information to fold a given sequence.
Some methods only used ChIP-chip data [ 1- 3].
However, these methods only used one type of genomic information to infer phylogenetic tree and could not achieve very accurate results [ 5].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com