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A cardboard sign calling for inclusive language at a feminist protest in Madrid, 2013, with basic usage instructions. Inclusive language is a language style that seeks to avoid expressions that its proponents perceive as expressing or implying ideas that are sexist, racist, or otherwise biased, prejudiced, or insulting to particular group(s) of people; and instead uses language intended by its ...
REAL is an efficient, accurate, and sensitive tool for aligning short reads obtained from next-generation sequencing. The programme can handle an enormous amount of single-end reads generated by the next-generation Illumina/Solexa Genome Analyzer. cREAL is a simple extension of REAL for aligning short reads obtained from next-generation ...
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John Tukey expanded on the technique in 1958 and proposed the name "jackknife" because, like a physical jack-knife (a compact folding knife), it is a rough-and-ready tool that can improvise a solution for a variety of problems even though specific problems may be more efficiently solved with a purpose-designed tool. [2]
Social desirability bias is a type of response bias that influences a participant to deny undesirable traits, and ascribe to themselves traits that are socially desirable. [2] In essence, it is a bias that drives an individual to answer in a way that makes them look more favorable to the experimenter. [1] [2] This bias can take many forms.
The new order doesn't name which existing policies are hindering AI development but sets out to track down and review “all policies, directives, regulations, orders, and other actions taken” as a result of former President Joe Biden's sweeping AI executive order of 2023, which Trump rescinded Monday. Any of those Biden-era actions must be ...
In this way, if two instances form a Tomek link then either one of these instances is noise or both are near a border. Thus, one can use Tomek links to clean up overlap between classes. By removing overlapping examples, one can establish well-defined clusters in the training set and lead to improved classification performance.
Selection bias refers the inherent tendency of large language models to favor certain option identifiers irrespective of the actual content of the options. This bias primarily stems from token bias—that is, the model assigns a higher a priori probability to specific answer tokens (such as “A”) when generating responses.