in updating expectations of future reward based on observing rewards obtained by others, an action-observational learning system involved in learning about the action tendencies of others, and a third system engaged when it is necessary to learn about the hidden mental-states or traits of another....
Machine learning (ML) and its subfield, deep learning (DL), which involves algorithms that analyze data in a manner like human reasoning25, have garnered substantial traction in oncology, particularly in the realm of diagnosis and detection using image processing26,27,28, and survival prediction29...
Issues in methodology and application of impedance cardiography: An introductionSHEEPOBSERVATIONAL LEARNINGARTIFICIAL SUCKLINGSOCIAL BEHAVIORThis work was aimed at finding evidence of observational learning in sheep. The task to be learned was that of suckling milk from a bucket provided with teats. Lambs...
The NOS is well-regarded for its application in observational studies, providing a systematic approach to evaluating the quality of non-randomized studies. The consistent use of the NOS across these studies indicates its reliability and relevance in assessing the quality of observational research in ...
Gravitational waves from spinning neutron stars: Observational results and modelling 2250 51:00 The Gaia mission, Gaia DR3, and science highlights from the Gaia data releases 2303 57:00 Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe ...
SocialLearningTheoryAlbert Bandura’sSocialLearningTheoryhas become the most influentialtheoryoflearningand development. Bandura’stheoryadded asocialelement known as observationallearningand can explain a variety of behaviors. The three core concepts of thesociallearningtheoryis the idea that people...
However, the existing research based on DML model mostly use traditional machine learning techniques for prediction, which can achieve satisfactory prediction results when the data is free from outliers and follows normal distribution. In the field of bioinformatics, the observational data collected freque...
Carroll W, Bandura A. The role of visual monitoring in observational learning of action patterns.J Mot Behav. 1982;14(2):153–2. PubMedWeb of Science ®Google Scholar Koshy K, Limb C, Gundogan B, et al. Reflective practice in health care and how to reflect effectively.Int J Surg Onc...
This study introduced a new approach to conducting electrical engineering related laboratory activities amidst online or hybrid learning modalities. Primarily, this paper examined the potential of using simulation-based (SiM) mobile learning application to develop technical and vocational skills of the ...
The aim of our study was to evaluate the effect of these teaching methods on dental education performance compared to traditional teaching method lecture-based learning (LBL). Methods Protocol and registration According to the Meta-analysis of Observational Studies in Epidemiology guidelines22 and the ...