This study provides a valuable extension of credibility-based learning research by showing how feedback reliability can distort reward-learning biases in a disinformation-like bandit task. Although ...

Researchers used machine learning and UK Biobank data to identify predictors of subjective tinnitus presence and severity.

This paper addresses a valuable research question on the heritability of the brain's response to movie watching, given various parameters such as regional spatial hyperalignment and BOLD frequency ...

Some carmakers have even pledged to release only all-electric or electrified vehicles — which include hybrid engines that run on electric power at least some of the time — by certain target dates.

Repositório com os códigos para a monitoria da disciplina de séries temporais da pós-graduação em inteligência computacional do centro de informática (CIn) - UFPE.

Global production of the lower-cost Model Y, internally codenamed E41, is expected to begin in the United States, the sources said. That would occur at least a few months later than outlined in ...

To address these challenges, this article introduces an adaptive magnetic compensation approach based on the non-convex elastic net regression (NCENR) model. Instead of the ... combined with the ...

Global production of the lower-cost Model Y, internally codenamed E41, is expected to begin in the United States, the sources said. That would occur at least a few months later than outlined in ...

To address this issue, online parameter identification can be used as an alternative method to model refinement. In this paper, an MPPC method based on recursive extended least squares (RELS) is ...

By integrating the partial least squares regression (PLSR) model with the multiple linear regression (MLR) model, we will investigate the selection of the most informative bands from hyperspectral ...