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They have an innate global bias.
We analyze the global bias and the variance of the new estimator both theoretically and experimentally.
This effect is not sufficient, however, to produce a global bias to prime-adult prey because older juveniles are much less affected.
As admirable as these aims may be, Habermas and Derrida's proclamation inevitably raises the question of their global bias.
The other issue is the variations in sensitivity between detector heads 1 and 2. This underlying global bias from head to head will need to be corrected/accounted for in quantitative imaging.
Table 1 Definition of notations Notation Description R Training set (R_{dj}) jth training subset at dth level (n_{i}) Number of the context (C _{i}) m Number of the contextual variables f Dimensionality of latent factor vectors k Number of clusters in k-means method fun Similarity function in k-means method (omega _{0}) Global bias (omega _{i}) Strength of the ith variable.
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The global-bias diffusion process can be understood from two aspects.
The concept of local-mean and global-bias diffusion operator is firstly defined.
In this part, we propose a global-bias diffusion operator, which is used to establish the relationship between one sampled vertex and all unsampled vertices, to achieve the global-bias diffusion operation.
where P m denotes the local-mean diffusion operator, and P b denotes the global-bias diffusion operator.
The global-bias diffusion operation establishes the diffusion relationship between one sampled vertex and all the unsampled vertices.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com