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Decomposable Sparse Tensor on Tensor Regression
Most regularized tensor regression research focuses on tensors predictors with scalars responses or vectors predictors to tensors responses.
Sampling Through the Lens of Sequential Decision Making
Due to the growth of large datasets and model complexity, we want to learn and adapt the sampling process while training a representation.
COEM: Cross-Modal Embedding for MetaCell Identification
Metacells are disjoint and homogeneous groups of single-cell profiles, representing discrete and highly granular cell states.
What Words Do We Use to Lie?: Word Choice in Deceptive Messages
Existing research has also examined how factors, such as student status and gender, affect rates of deception and word choice in deceptive messages.
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