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The result is a four-input four-output control scheme that: (i) has linear decentralized PI- type components with reduced model dependency, and (ii) recovers the behavior of a controller driven by continuous measurements.
This detector is an extension of the binary integration detector, while overcoming its shortcomings of the statistical model dependency and maintaining its high efficiency.
It is free from any assumption on the model dependency, and it escapes from the use of background modeling using Markov chain models.
Our MISCORE is free from: (i) any assumption on model dependency; and (ii) the use of Markov chain model for background modeling.
Our proposed MISCORE share the following three remarkable features: (i) computational efficiency due to its simplicity; (ii) free from any assumption on model dependency; and (iii) an embedability of a priori knowledge in motif scoring.
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Specifically, after investigation of model dependencies and comparison experiment, we improve the effect of configuration interaction and the treatment of satellite lines.
Although it has not yet gained any noticeable adoption in the community (partly due to complicated data handling described below), it combines the best of both aforementioned methods: no text-size restrictions, no sentence segmentation model dependencies and negligible memory overhead.
Prior knowledge can be combined into GWAS to improve the power of association study [ 252]. it can also model dependencies and moderate the curse of dimensionality.
Then, on the basis of a suitable discrete model and feedforward-feedback control considerations, a discrete OF controller is derived, which: (i) has linear components and reduced model-dependency, and (ii) recovers the behavior of its continuous measurements counterpart.
A drawback of decision fusion methods is that the integration at this level may obscure intra-model dependencies and correlation between features.
A nonlocal constructive design approach leads to a passivated control scheme with linearity, decentralization and reduced model dependency features as well as nonlocal closed-loop behavior.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com