Sentence examples for number of inferences from inspiring English sources

"That could mean that any number of inferences could be drawn that don't have any malice aforethought".

The constructionist theory of inference generation suggests that readers generate a variety of on-line and off-line inferences, while the minimalist hypothesis proposes that readers draw a limited number of inferences during text comprehension.

Many aspects of EPS biosynthesis in LAB are still not fully understood and a number of inferences are made regarding the similarity of the pathway to those involved in the synthesis of other cell polysaccharides, e.g., cell wall components.

One of the richest and most powerful tools in social communication is the face, from which observers can quickly and easily make a number of inferences — about identity, gender, sex, age, race, ethnicity, sexual orientation, physical health, attractiveness, emotional state, personality traits, pain or physical pleasure, deception, and even social status.

To avoid the Quinean regress, one might propose that we conventionally stipulate a finite number of axioms and a finite number of inferences rules, thereby fixing an infinite number of logical truths.

Nevertheless, what is consistently observed from the use of the integrated decision-making models discussed above is a significant increase in the number of inferences that becomes available to the stakeholders, contributing to a more informed decision-making process.

We demonstrate the effectiveness of our approach on a number of inference algorithms and evaluate the implementation on a suite of datasets in a real network deployment.

After discussing these ideas at the semantic level, we introduce a number of inference rules to characterize interpolative and extrapolative reasoning at the syntactic level, and show their soundness and completeness w.r.t. the proposed semantics.

A number of inference rules have been developed to operate on perceived device and environment atomic context elements to achieve this goal.

The Bayesian construction enables a principled framework that encompasses a number of inference tasks about the data and can be used both to predict significant observations (e.g. small-molecule targets) and reason about the capabilities and limitations of an experiment (e.g. statistical power).

However, it has a limited number of inference methods incorporated, and cannot support the two level approach we have adopted.