Zobrazeno 1 - 10
of 2 647
pro vyhledávání: '"Casey Michael"'
Publikováno v:
Studies in Business and Economics, Vol 14, Iss 1, Pp 99-110 (2019)
This paper investigates the decline of state chartered banks in the rural states Alabama, Arkansas, Nebraska, Oklahoma, and Tennessee. We use bank capital as the dependent variable for the mixed model regression analysis. We analyze both state and ba
Externí odkaz:
https://doaj.org/article/b3cfb1a93b024f6297d268919c1acba3
Publikováno v:
Frontiers in Environmental Science, Vol 8 (2020)
Manganese (Mn), an element sensitive to redox conditions in aquatic environments, plays a role in numerous biogeochemical cycles. Although the speciation of Mn in lakes largely tracks the availability of dissolved oxygen, direct oxidation of Mn by mo
Externí odkaz:
https://doaj.org/article/96af70e6cc2143759cd44919305013fa
Autor:
Casey, Michael P.
For a set $X$ of $N$ points in $\mathbb{R}^D$, the Johnson-Lindenstrauss lemma provides random linear maps that approximately preserve all pairwise distances in $X$ -- up to multiplicative error $(1\pm \epsilon)$ with high probability -- using a targ
Externí odkaz:
http://arxiv.org/abs/2307.07704
Autor:
Paulsen, Sean, Casey, Michael
We present a sequential transfer learning framework for transformers on functional Magnetic Resonance Imaging (fMRI) data and demonstrate its significant benefits for decoding musical timbre. In the first of two phases, we pre-train our stacked-encod
Externí odkaz:
http://arxiv.org/abs/2305.13226
Autor:
Paulsen, Sean, Casey, Michael
In this work we introduce a self-supervised pretraining framework for transformers on functional Magnetic Resonance Imaging (fMRI) data. First, we pretrain our architecture on two self-supervised tasks simultaneously to teach the model a general unde
Externí odkaz:
http://arxiv.org/abs/2305.09057