Sentence examples for distributional knowledge from inspiring English sources

A similar result was shown in [3] for two-user multiple-access system, by requiring not only complete distributional knowledge but also one bit of instantaneous queue state information.

The idea that sentences can be used directly, in conjunction with distributional knowledge, as objects enabling inference is a rather recent and surprising one, though it was foreshadowed by many years of work on question answering based on large text corpora.

Whereas the signal-processing theory of robust filtering concentrates on design with full distributional knowledge and a fixed number of observation variables (features), design via training from sample data and feature selection are so important for classification that robustness optimality must be considered from these perspectives in particular, for small samples.

The geographic distribution of each of 507 known shark species was extracted using available distributional data and expert knowledge from the scientific literature (from 1878 to present) and compiled in a Global Shark Distribution Database (Supporting Text S1, and Supporting Table S1 and Table S2).

Finally, accurate knowledge of distributional responses to past climate change can provide an excellent calibration for predictions of the consequences of present-day climate change [11] [12], including the mode and tempo of recolonization of newly available habitats [13].

Assessing the strength of AS relationship for a species in a given landscape requires (i) knowledge on the distributional range and potential habitats, and (ii) quantifying the abundance in the entire distributional range (Sagarin and Gaines 2002).

Distributional information, by contrast, consists of "knowledge about the distribution of outcomes in similar situations".

Chomsky (1957) argued that distributional analyses cannot give rise to knowledge of grammar, as there are not enough 'minimally differing' sentences in the input to enable children to figure out what the allowable contexts for a given element are.

Specifically, we show that the original accounting rules had distributional consequences within the organization, that knowledge to reform the rules was available but not fully incorporated into revised rules, and that the evolution of the rule provided a "quasi-resolution" of the conflict that motivated the rule change.

Sample size calculations for clinical studies are usually conducted to determine the total number of patients needed to satisfy a specified power requirement, and their validity is dependent on pre-trial knowledge of nuisance parameters and distributional and modelling assumptions.

Decisions on priority setting and rationing in health care have both informational and distributional aspects, which is why they require expert knowledge and specialised bodies on the one hand and democratic consent on the other hand.