3 citations · 6 across the 5 of their papers we have counts for
5 papers
Copula Quadrant Similarity for Anomaly Scores
Matthew Davidow, David Matteson
Practical anomaly detection requires applying numerous approaches due to the inherent difficulty of unsupervised learning. Direct comparison between complex or opaque anomaly detec…
Clustering Future Scenarios Based on Predicted Range Maps
Matthew Davidow, Cory Merow, Judy Che-Castaldo +4
Predictions of biodiversity trajectories under climate change are crucial in order to act effectively in maintaining the diversity of species. In many ecological applications, futu…
Factor Analysis of Mixed Data for Anomaly Detection
Matthew Davidow, David S. Matteson
Anomaly detection aims to identify observations that deviate from the typical pattern of data. Anomalous observations may correspond to financial fraud, health risks, or incorrectl…
Scalable Lévy Process Priors for Spectral Kernel Learning
Phillip A. Jang, Andrew E. Loeb, Matthew B. Davidow +1
Gaussian processes are rich distributions over functions, with generalization properties determined by a kernel function. When used for long-range extrapolation, predictions are pa…
Analysis of a remarkable singularity in a nonlinear DDE
Matthew Davidow, B. Shayak, Richard H. Rand
In this work we investigate the dynamics of the nonlinear DDE (delay-differential equation) x''(t)+x(t-T)+x(t)^3=0 where T is the delay. For T=0 this system is conservative and exh…