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Search results with tag "Linear hierarchical"
Prior distributions for variance parameters in ...
www.stat.columbia.edubution, half-t distribution, hierarchical model, multilevel model, noninformative prior distribution, weakly informative prior distribution 1 Introduction Fully-Bayesian analyses of hierarchical linear models have been considered for at least forty years (Hill, 1965, Tiao and Tan, 1965, and Stone and Springer, 1965) and have
BERT: Pre-training of Deep Bidirectional Transformers for ...
nlp.stanford.eduComputes non-linear hierarchical features Layer norm and residuals Makes training deep networks healthy ... Left-to-right model does very poorly on word-level task (SQuAD), although this is mitigated by BiLSTM. ... Need to train two models Off-by-one: LTR predicts next word, RTL predicts previous word ...