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An information-theoretic derivation of min-cut based clustering
Anil Raj, Chris H. Wiggins
Min-cut clustering, based on minimizing one of two heuristic cost-functions proposed by Shi and Malik, has spawned tremendous research, both analytic and algorithmic, in the graph…
A stochastic spectral analysis of transcriptional regulatory cascades
Aleksandra M. Walczak, Andrew Mugler, Chris H. Wiggins
The past decade has seen great advances in our understanding of the role of noise in gene regulation and the physical limits to signaling in biological networks. Here we introduce…
A non-negative expansion for small Jensen-Shannon Divergences
Anil Raj, Chris H. Wiggins
In this report, we derive a non-negative series expansion for the Jensen-Shannon divergence (JSD) between two probability distributions. This series expansion is shown to be useful…
Predicting Regional Classification of Levantine Ivory Sculptures: A Machine Learning Approach
Amy Rebecca Gansell, Irene K. Tamaru, Aleks Jakulin +1
Art historians and archaeologists have long grappled with the regional classification of ancient Near Eastern ivory carvings. Based on the visual similarity of sculptures, individu…