„Meta-Learning“
Suchergebnisse
4.366 Treffer
-
A collaborative use of two metaheuristic methods using Q-learning for the travelling salesman problems in different fields: an application to smart home delivery system
-
Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals
-
Predicting incident cardio-metabolic disease among persons with and without depressive and anxiety disorders: a machine learning approach
-
Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning
-
Advances in Extracellular Vesicle Research Over the Past Decade: Source and Isolation Method are Connected with Cargo and Function
-
Machine Learning and Big Data-enabled Biotechnology
-
Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning
-
Metacognitive control processes in question answering: help seeking and withholding answers
-
Collaborative learning groups’ adoption of shared metacognitive regulation: examining the impact of structuring versus reflection-provoking support and its relation with group performance
-
Variations in socially shared metacognitive regulation and their relation with university students’ performance
-
Does the Fourth-Grade Slump in Creativity Actually Exist? A Meta-analysis of the Development of Divergent Thinking in School-Age Children and Adolescents
-
Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models
-
What Is the Source of the Correlation Between Reading and Mathematics Achievement? Two Meta-analytic Studies
-
Swarm, evolutionary, and memetic computing – third international conference ; proceedings
-
Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning
-
Introduction to meta learning for internet of multimedia things
-
Advancing Contextual Interference: Addressing Methodological Debates, Reflecting on Meta-Analytic Practices and Generalizability, and Guiding Future Directions in Motor Learning
-
Strong novelty regained: high-impact outcomes of machine learning for science
-
A Generalized Approach for Comprehensive Design of Friction Stir Welding Process Using Machine Learning Model and Meta-model Framework
-
Deep Learning Applications for Improving Early Detection and Staging Accuracy in Alzheimer’s Disease