Search Results for author: Eric Bridgeford

Found 7 papers, 3 papers with code

Why do networks have inhibitory/negative connections?

no code implementations5 Aug 2022 Qingyang Wang, Michael A. Powell, Ali Geisa, Eric Bridgeford, Joshua T. Vogelstein

Our answer to why there are inhibitory/negative weights is: to learn more functions.

Vertex nomination: The canonical sampling and the extended spectral nomination schemes

no code implementations14 Feb 2018 Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith Levin, Donniell Fishkind, Carey Priebe, Vince Lyzinski

There are vertex nomination schemes in the literature, including the optimally precise canonical nomination scheme~$\mathcal{L}^C$ and the consistent spectral partitioning nomination scheme~$\mathcal{L}^P$.

Stochastic Block Model

Supervised Dimensionality Reduction for Big Data

1 code implementation5 Sep 2017 Joshua T. Vogelstein, Eric Bridgeford, Minh Tang, Da Zheng, Christopher Douville, Randal Burns, Mauro Maggioni

To solve key biomedical problems, experimentalists now routinely measure millions or billions of features (dimensions) per sample, with the hope that data science techniques will be able to build accurate data-driven inferences.

General Classification Supervised dimensionality reduction

Discovering and Deciphering Relationships Across Disparate Data Modalities

4 code implementations16 Sep 2016 Joshua T. Vogelstein, Eric Bridgeford, Qing Wang, Carey E. Priebe, Mauro Maggioni, Cencheng Shen

Understanding the relationships between different properties of data, such as whether a connectome or genome has information about disease status, is becoming increasingly important in modern biological datasets.

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