Let us call this restricted approach the mass imbalance approach (MIA).
Although pectoralis minor shortening is central to the theory that is used to underpin the muscle imbalance approach in relation to shoulder and upper quadrant pathology the findings of this investigation suggest that although the test is reliable it lacks the diagnostic accuracy to identify subjects that have a shortening of this muscle as a cause or contribution to their symptoms.
Allelic imbalance approaches have the advantage of assessing expression within an individual rather than across subjects thereby avoiding several sources of error and variation.
While the specific example of Santa Claus could be seen as a throwback to the paternalistic, imbalanced service-learning approach of decades past (privileged students helicoptering briefly in and out of a community), today's service-learning programs are calibrated to involve a much fuller spirit of collaboration.
The paper "An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species" proposes a supervised Pairwise Ortholog Detection (POD) approach by combining a set of gene pair features based on similarity measures, such as alignment scores, sequence length, gene membership to conserved regions, and physicochemical profiles.
Following the financial crisis in 2008, existing financing methods for wind power enterprises became imbalanced, and new financing approaches had to be developed.
We demonstrate the algorithm using a cluster randomized trial in primary care (the PRE-EMPT Study) and show that the software incorporates a trade off between independent random allocations that were likely to be imbalanced, and predictable deterministic approaches that would minimise imbalance.
An algorithmic approach to handle imbalanced data distributions is based on ensembles of classifiers.
For a comprehensive survey of data resampling and algorithmic approaches to the imbalanced data problem in the supervised learning framework, the reader is referred to [ 14].
While sampling approaches address the imbalanced learning problem at the data level, cost-sensitive learning methods target this problem at both the data level and the algorithm level [ 16].
Thus, in later life testosterone creates an imbalance between approach and avoidance.
