Sentence examples for importance categorization from inspiring English sources

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This chapter covers the definition, importance, categorization, and application of polymer hybrid composites in the biomedical field.

Similar(59)

The theory of evolution's importance transcends categorization as simply another biological subtopic; rather, it is the unifying theme through which much of biology understanding must pass (Zook 1995).

The fact that measurement error increases with increasing CAC values, is in prognostic studies not of major importance since the categorization of individuals seems adequate.

It has been proposed that the location of the perirhinal cortex, near the end of a hierarchical sequence of visual (and other sensory) processing areas, reflects its importance for the categorization of complex visual objects (Buckley, 2005; Bussey, Saksida, & Murray, 2005; Eacott, Machin, & Gaffan, 2001; Murray & Bussey, 1999; but see Hampton, 2005).

It confirms the importance of rigorous diagnostic categorization in affective disorders, the problem of sample recruitment strategies and the dilemma of suboptimal power.

In the conventional methods for the RISSC, the SSCs are quantitatively categorized according to their importance measures for the initial categorization.

Several important photographers defied categorization.

Due to their prevalence and clinical importance, a reliable classification system seems to be extremely useful for their management; effective categorization enables more effective diagnosis and treatment as well as a better understanding of their pathogenesis [14].

Due to their prevalence and clinical importance, a reliable classification system seems to be extremely useful for their management; effective categorization enables more effective diagnosis and treatment as well as a better understanding of their pathogenesis (Grimbizis and Campo, 2010).

This finding provides further support for the importance of the semantic similarity in categorization.

In addition to its importance for many practical applications, unsupervised action categorization is important in the context of machine learning, particularly on how video processing approaches could allow a high-level "understanding" of the data.

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