Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Farrelly, Colleen M."'
Generalized linear models (GLM) are link function based statistical models. Many supervised learning algorithms are extensions of GLMs and have link functions built into the algorithm to model different outcome distributions. There are two major draw
Externí odkaz:
http://arxiv.org/abs/1905.00365
Autor:
Farrelly, Colleen M.
Ensemble learning has had many successes in supervised learning, but it has been rare in unsupervised learning and dimensionality reduction. This study explores dimensionality reduction ensembles, using principal component analysis and manifold learn
Externí odkaz:
http://arxiv.org/abs/1710.04484
Autor:
Farrelly, Colleen M.
This study compares various superlearner and deep learning architectures (machine-learning-based and neural-network-based) for classification problems across several simulated and industrial datasets to assess performance and computational efficiency
Externí odkaz:
http://arxiv.org/abs/1708.06347
Autor:
Farrelly, Colleen M.
The problem of subgroups is ubiquitous in scientific research (ex. disease heterogeneity, spatial distributions in ecology...), and piecewise regression is one way to deal with this phenomenon. Morse-Smale regression offers a way to partition the reg
Externí odkaz:
http://arxiv.org/abs/1708.05712
Autor:
Farrelly, Colleen M.
Very few K-nearest-neighbor (KNN) ensembles exist, despite the efficacy of this approach in regression, classification, and outlier detection. Those that do exist focus on bagging features, rather than varying k or bagging observations; it is unknown
Externí odkaz:
http://arxiv.org/abs/1708.02122
Autor:
Singh, Yashbir1 (AUTHOR), Farrelly, Colleen M.2 (AUTHOR), Hathaway, Quincy A.3 (AUTHOR), Leiner, Tim1 (AUTHOR), Jagtap, Jaidip1 (AUTHOR), Carlsson, Gunnar E.4 (AUTHOR), Erickson, Bradley J.1 (AUTHOR) bje@mayo.edu
Publikováno v:
Insights into Imaging. 4/1/2023, Vol. 14 Issue 1, p1-10. 10p.
The analysis of bridging constructs with hierarchical clustering methods: An application to identity
Autor:
Farrelly, Colleen M., Schwartz, Seth J., Lisa Amodeo, Anna, Feaster, Daniel J., Steinley, Douglas L., Meca, Alan, Picariello, Simona
Publikováno v:
In Journal of Research in Personality October 2017 70:93-106