This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Last year, you could hardly escape data in business headlines. Generative AI's rapid development revolutionized the speed with which information can be processed, opening the door for rapid changes ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...

The Duke Blue Devils will take their impressive resume on the road, hoping to continue their wonderful season on Saturday ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Ashley is a lead editor of mortgages and loans at Forbes Advisor. She graduated from Utah Tech University with a bachelor’s in English with an emphasis in creative writing. She began her career ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...