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focus primarily on computational modelling of infant behaviour and experience, using approaches from machine learning, unsupervised learning, dynamical systems, information theory, or related quantitative
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-consequence decisions from vast, complex and uncertain data under significant time pressure. The project advances the state of the art across explainable multi-modal deep learning, causal statistical modelling
Searches related to machine learning modeling
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