Sentence examples similar to well-defined inference from inspiring English sources

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This assessment is based on a well-defined probabilistic inference problem, which is discussed in the following section.

There are several benefits of using a well-defined knowledge-based fuzzy inference system for deriving the appropriate quantization step for each moment coefficient.

Hence, they present a unified framework for binary recursive partitioning which embeds tree-structured regression models into a well-defined theory of conditional inference procedures.

On the other hand, a design-based perspective emphasizes inference to a well-defined finite population, and is commonly invoked by those using complex survey samples or those with responsibility for the health of local residents.

The relatively few examples of such convergent changes are based largely on molecular and functional analysis of proteins with well-defined structures and functions; consequently, the inference of convergent adaptive polymorphism or divergence allows plausible arguments to be made regarding the phenotypic adaptive effects of particular mutations in different lineages.

The formalists, on the other hand, developed the idea of allowing the use of only finite, well-defined and constructible objects, together with rules of inference deemed to be absolutely certain.

Critically, this inference covers long-range connections among well-defined neuronal subpopulations.

The fuzzy inputs, i.e. O f, S, O d, are evaluated in fuzzy inference engine, which makes use of well-defined rule base.

Such a set of well-defined evolutionary pathways will provide increased power in making inferences of demographic history, and be useful in clarifying the precise mechanisms of molecular evolution.

3. Another loose end of the manuscript is the lack of a well-defined universe from which representative samples are taken and the inference made.

Prepares students to formulate well-defined research questions, design data collection, evaluate algorithms for clinical prediction, design studies for causal inference, and identify and prevent biases in clinical research.

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