A linear SVR model uses an unusual error/loss function and cannot be trained using standard techniques, and so particle swarm optimization training is used. The goal of a machine learning regression .

A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive ...

This paper examines selection on induced epigenetic variation ("Lamarckian evolution") in response to herbivory in Arabidopsis thaliana. The authors find weak evidence for such adaptation, which ...

Education Diversity, Functional Diversity, Tenure Diversity, Social Diversity, Organizational Performance, State Departments, ...

A comprehensive kinetic model was developed, which integrated random chain scission ... and the autocatalytic phenomena were accounted for by plugging a linear function of pH against time into the ...

This important study reports that the human posterior inferotemporal cortex (hPIT) functions as an attentional priority map, integrating both top-down and bottom-up attentional signals rather than ...

California Gov. Gavin Newsom (D) spoke to reporters after a federal judge blocked President Donald Trump from deploying the National Guard to Los Angeles. Learn how to build a multivariate linear ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Earlier this month, meanwhile, Corceiro showed the Formula One ace what he is missing as she posed for a new underwear campaign on behalf of lingerie brand Intimissimi The model looked chic in a ...

Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...