The findings also revealed that the effect of PBL on the acquisition and integration of knowledge was robust.
As sources of biological prior knowledge (e.g. literature-derived regulatory relationships, protein protein interactions, ChIP-seq-detected binding events) are expected to have large numbers of incorrect (false prior) interactions, or interactions not relevant in a given dataset, it is important that methods for incorporating prior knowledge are robust to these cases.
Sensitivity analyses were performed on the variable of immigration, showing that the relationship between immigration and knowledge flows is robust to the inclusion or omission of explanatory variables and also to different definitions of immigration.
Specifically, the overall aim of the project is to develop knowledge that is robust (internal validity), contextual (external validity) and useable (accessibility) on efficient implementation processes and effective advanced primary care nursing practice models.
> The question now is how to define an appropriate objective function over W that (i) can effectively incorporate the prior network knowledge, and (ii) is robust to the noise and incompleteness in the prior knowledge.
Usually, using prior knowledge is more robust for suppressing compositionally biased segments; yet, this is less convenient if existing software pipelines do not include all programs required.
The main reason for this lack of knowledge is that robust high-throughput methods for quantitative characterization or even qualitative identification of combinatorial Histone Codes by any standard biological, immunological or physical technique do not exist.
High-quality knowledge further improves kDDN performance, while kDDN is robust enough even to totally random prior knowledge.
By integrating the lumped LuGre tire model and the vehicle kinematics, it is shown that the proposed corner-based estimator does not require knowledge of the road friction and is robust to model uncertainties.
Since this broadband approach does not rely on accurate knowledge of the sensor placement, it is robust against unknown microphone array deformations or disturbance of the wavefront.
