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Yet, the approach of constraining predictions to within a pre-selected set of interactions limits the impact of these potential errors to related low-affinity complexes.
Mutual information has been considered before in the context of experimental design for constraining predictions or parameters of interest [ 29], but not in the setting of model selection.
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We constrained this behavior by instructing Maxent to use "clamping", a procedure which constrains predictions of environmental suitability so that environmental conditions that were not present in the training area do not produce extreme suitability estimates [49].
An expanded NAPSS algorithm, NAPSS-CS, is also provided that uses these spectroscopic properties to constrain predictions of RNA secondary structure.
Using the collected topology information, constrained predictions were made for all proteins in the database by HMMTOP (Tusnady and Simon, 1998; Tusnady and Simon, 2001) as well.
Thus, the observed mass concentrations and bulk composition (e.g. O/C) of these factors provide useful information for constraining theoretical predictions of the spatial and temporal evolution of key OA sources.
The model accounts for the primary behavioral effects reported by Balota et al. (2000) (a task-dependent lexicality effect and an impact of word regularity on the task reversal of the word frequency effect), while also constraining novel predictions regarding how control-related brain regions may interact with reading-related brain regions, as revealed by fMRI.
Brains like ours may be constantly trying to use what they already know so as to predict the current sensory signal, using the incoming signal to constrain those predictions, and sometimes using the expectations to "trump" certain aspects of the incoming sensory signal itself.
Finally the SP-containing proteins were considered subdivided into soluble proteins and proteins containing TMHs, by assessing which proteins had TMHs predicted by a Phobius constrained prediction (constraint: N-terminus = signal peptide).
They are often said to constrain the predictions of any local hidden variable theory: this is true to the extent that parameter and outcome independence succeed in expressing locality conditions.
The wide coverage area and continuous operation of EISCAT_3D will make it an invaluable resource for users of the radio spectrum who need to constrain model predictions with real data (see "Space weather impacts on technology").
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