5 citations · 12 across the 4 of their papers we have counts for
4 papers · 1 filter
Dimensionality Reduction Ensembles
Colleen M. Farrelly
Ensemble learning has had many successes in supervised learning, but it has been rare in unsupervised learning and dimensionality reduction. This study explores dimensionality redu…
Deep vs. Diverse Architectures for Classification Problems
Colleen M. Farrelly
This study compares various superlearner and deep learning architectures (machine-learning-based and neural-network-based) for classification problems across several simulated and…
Extensions of Morse-Smale Regression with Application to Actuarial Science
Colleen M. Farrelly
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 thi…
KNN Ensembles for Tweedie Regression: The Power of Multiscale Neighborhoods
Colleen M. Farrelly
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…