Selective learning for sensing using shift-invariant spectrally stable undersampled networks
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-83706-8
Abstract: The amount of data collected for sensing tasks in scientific computing is based on the Shannon-Nyquist sampling theorem proposed in the 1940s. Sensor data generation will surpass 73 trillion GB by 2025 as we increase… read more here.
Keywords: shift invariant; invariant spectrally; selective learning; spectrally stable ... See more keywords
The development of social learning: from pedagogical cues to selective learning
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2024.1466618
Abstract: Learning new information from others, called social learning, is one of the most fundamental types of learning from infancy. Developmental studies show that infants likely engage in social learning situations selectively and that social learning… read more here.
Keywords: social learning; selective learning; learning pedagogical; development social ... See more keywords