How do compliance teams in major corporates keep pace with the exponential growth of company data and the wealth of regulation they face? And in ...

Britain's first teacherless AI classroom may be an "outlier", but it underlines the potential benefits and risks of a UK ...

False Claims Act litigation in the U.S. spiked significantly according to a new report by Gibson, Dunn & Crutcher, LLP, at least in terms of the number of cases brought to the courts.

Scale AI, which labels training data for machine-learning models, was sued this month, alongside labor platform Outlier, for ...

Charleston, Berkeley and Dorchester counties saw unusually high home sales in December, contributed in part by builders ...

It is also more adept than other methods at coping with common data problems such as missing values, outliers, and uninformative features. And whereas conventional machine learning models require ...

Detection and removal of specific types of outliers present in different data formats which includes detection and removal of contextual outliers from textual data using LOF, outliers from tabular ...

Detection and removal of specific types of outliers present in different data formats which includes detection and removal of contextual outliers from textual data using LOF, outliers from tabular ...

The average cup size in the US is a C on average, data from the California-based World Population Review suggest, putting it ...

Filling gaps in data sets or identifying outliers -- that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg.