Additionally, it is studied whether confidence or novelty measures are more effective to distinguish reliable from less reliable predictions.
Problems connected with the assignment of sets of unknown samples and the methods used for distinguishing reliable from doubtful assignments are discussed.
Since Altman (1968), most of the models devoted to prediction of insolvency have tried to determine the best function to distinguish reliable companies from those that will possibly default in the near future.
For others, it is the ability to distinguish reliable from non-reliable information, particularly when contradictory information is presented.
They and their parents also learn to distinguish reliable and unreliable sources of health information on the web in the "On-line for Health" workshop.
To overcome this problem, as an example, many parasitic wasps are capable of olfactory learning, which enables them to link host presence to specific odors and thereby increase the chances to distinguish reliable plant signals from unreliable ones., Therefore, wasps are able to read the information that is essential to them.
This criterion was replaced in CpGcluster by the statistical significance (p-value), a more robust and reliable way to distinguish true CGIs from stochastic noise, disregard island length [ 14].
To avoid a tracking of these wrong detection results we have to distinguish between reliable (true objects) and nonreliable objects (uncovered background).
This is the problem of distinguishing reliable from unreliable inductions.
Similarly, in a technology firm, the leadership team described getting inputs from so many sources that they often could only react to what they learned last, rather than seeing trends or distinguishing reliable sources from one-off complaints.
With respect to interpretation, the MHI confronts quantum contextuality by selecting a preferred context, and has proved to be able to supply an account of the measurement problem, both in its ideal and its non-ideal versions; moreover, in the non-ideal case it gives a criterion to distinguish between reliable and non-reliable measurements (Lombardi and Castagnino 2008, Section 6).
