Sentence examples for dominant dimensions from inspiring English sources

In general, irrationalism implies either (in ontology) that the world is devoid of rational structure, meaning, and purpose; or (in epistemology) that reason is inherently defective and incapable of knowing the universe without distortion; or (in ethics) that recourse to objective standards is futile; or (in anthropology) that in human nature itself the dominant dimensions are irrational.

The eigenvectors corresponding to the biggest eigenvalue represent the most dominant dimensions or features of the images in a class.

Figure 5 Valence rating per song and predicted valence rating based on the two dominant dimensions from the mood ratings.

This means that a straightforward identification of the first and second dominant dimensions from the mood ratings with the arousal and valence rating, respectively, is not strictly proper.

The dominant dimensions used to differentiate various types are highlighted, particularly those related to positionality of humans and nature with respect to each other, character of the bond between humans and nature, and perspectives on understanding of nature.

This allows for the first time the preparation of reproducible small particle size with dominant dimensions between 2.5 and 6.5 nm for all samples of the Pd Co electro catalysts.

Figure 6 Arousal rating per song and predicted arousal rating based on the dominant dimension from the mood ratings.

A second aspect of interpretation is to identify vectors aligned with the primary dominant dimension (Dim 1), and those aligned with the secondary dimension (Dim 2).

We consider this case where we also assume that the first dominant dimension from the mood covariance analysis corresponds to the arousal rating, thus the assumed linear relation is given by r a ≈ r ̂ a = c a 0 + Ŝ 1 c a 1, (2) r v ≈ r ̂ v = c v 0 + Ŝ 1 c v 1 + Ŝ 2 c v 2. (3).

Although batteries of cognitive tests administered to humans show a clear dominant dimension, this dimension is not enough to capture the full correlational structure of the tests.

Under the monotonicity assumption, the probability of choosing a higher item category should increase or remain constant, but should not decrease with increasing values on the dominant dimension.