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Found 2 papers, 2 papers with code
Action detection using a neural network elucidates the genetics of mouse grooming behavior
Automated detection of complex animal behaviors remains a challenging problem in neuroscience, particularly for behaviors that consist of disparate sequential motions.
A Divide and Conquer Strategy for High Dimensional Bayesian Factor Models
Our approach is novel in this regard: it includes all of the $n$ samples in each subproblem and, instead, splits the dimension $p$ into smaller subsets for each subproblem.
Methodology
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