Sentence examples for exploratory experimentation from inspiring English sources
Looking back at a number of detailed analyses of experimental research, we can now appreciate that the concept of exploratory experimentation is too vague and too elusive to fill the desideratum whose existence it revealed.
Looking for the practices that drive conceptual innovation has led philosophers to examine both the reasoning practices of scientists and the wide realm of experimental practices that are not directed narrowly at testing hypotheses, that is, exploratory experimentation.
Many firms therefore can benefit from less-formal, exploratory experimentation.
The essay traces the emergence of the historiographical concept "exploratory experimentation" in the late 1990s.
This essay utilizes the concept "exploratory experimentation" as a probe into the relation between historiography and philosophy of science.
The reconstruction of the early discussions about exploratory experimentation shows that the introduction of the concept had unintended consequences: Initially designed to debunk philosophical ideas about theory testing, the concept "exploratory experimentation" quickly exposed the poverty of our conceptual tools for the analysis of experimental practice.
In addition, controlled delivery may be beneficial in various in vitro assays, such as high-throughput drug screening or exploratory cell biology experimentation.
Exploratory modeling makes use of computational experimentation to test how varying model scenarios drive model outcome.
We also encourage learning and experimentation in digital scholarship through exploratory projects, programs of hands-on instruction, graduate student internships, and resources and programming in The Edge / Murthy Digital Studio.
As the choice of an appropriate objective function is not always clear prior to extensive experimentation [ 52, 53], a generating set is useful for exploratory modeling.
In the early days of microarray experimentation, an emphasis was placed on analyzing the data using exploratory data mining techniques, such as hierarchical clustering [ 10] and self-organizing maps [ 11].
