Results 31 to 40 of about 498,835 (163)
Crossmodal interactions in human learning and memory
Frontiers in Human Neuroscience, 2023 Most studies of memory and perceptual learning in humans have employed unisensory settings to simplify the study paradigm. However, in daily life we are often surrounded by complex and cluttered scenes made up of many objects and sources of sensory ...
Carolyn A. Murray +2 more
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Bayesian Social Learning with Local Interactions
Games, 2010 We study social learning in a large population of agents who only observe the actions taken by their neighbours. Agents have to choose one, out of two, reversible actions, each optimal in one, out of two, unknown states of the world.
Antonella Ianni, Antonio Guarino
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Sensorimotor Interactions in Speech Learning
i-Perception, 2011 Auditory input is essential for normal speech development and plays a key role in speech production throughout the life span. In traditional models, auditory input plays two critical roles: 1) establishing the acoustic correlates of speech sounds that ...
Douglas M Shiller
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Learning high-order interactions for polygenic risk prediction.
PLoS ONE, 2023 Within the framework of precision medicine, the stratification of individual genetic susceptibility based on inherited DNA variation has paramount relevance. However, one of the most relevant pitfalls of traditional Polygenic Risk Scores (PRS) approaches
Michela C Massi +9 more
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Machine Learning Configuration Interaction [PDF]
Journal of Chemical Theory and Computation, 2018 We propose the concept of machine learning configuration interaction (MLCI) whereby an artificial neural network is trained on-the-fly to predict important new configurations in an iterative selected configuration interaction procedure. We demonstrate that the neural network can discriminate between important and unimportant configurations, that it has
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Learning epistatic gene interactions from perturbation screens.
PLoS ONE, 2021 The treatment of complex diseases often relies on combinatorial therapy, a strategy where drugs are used to target multiple genes simultaneously. Promising candidate genes for combinatorial perturbation often constitute epistatic genes, i.e., genes which
Kieran Elmes +5 more
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Screening drug-target interactions with positive-unlabeled learning
Scientific Reports, 2017 Identifying drug-target interaction (DTI) candidates is crucial for drug repositioning. However, usually only positive DTIs are deposited in known databases, which challenges computational methods to predict novel DTIs due to the lack of negative samples.
Lihong Peng +6 more
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Intermolecular Non-Bonded Interactions from Machine Learning Datasets
Molecules, 2023 Accurate determination of intermolecular non-covalent-bonded or non-bonded interactions is the key to potentially useful molecular dynamics simulations of polymer systems.
Jia-An Chen, Sheng D. Chao
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International Review of Research in Open and Distributed Learning, 2017 This paper reports the findings of a comparative analysis of online learner behavioral interactions, time-on-task, attendance, and performance at different points throughout a semester (beginning, during, and end) based on two online courses: one course ...
Sanghoon Park
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EFL Students’ Self-Regulation in Online Interactions with Lecturers and Peers
Indonesian Journal of Educational Research and Review, 2022 Online learning is definitely advantageous in this current situation. Due to the technology, the teaching and learning process can continue despite the students and instructor/lecturer located in different places. This study aims to understand student’s
Nurvira Wardayani +4 more
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