Zobrazeno 1 - 10
of 1 360
pro vyhledávání: '"Meyer, P. G."'
Autor:
Meyer, François G
The notion of Fr\'echet mean (also known as "barycenter") network is the workhorse of most machine learning algorithms that require the estimation of a "location" parameter to analyse network-valued data. In this context, it is critical that the netw
Externí odkaz:
http://arxiv.org/abs/2408.03461
Autor:
Jiang, Yuming, Rex, Devasahayam Arokia Balaya, Schuster, Dina, Neely, Benjamin A., Rosano, Germán L., Volkmar, Norbert, Momenzadeh, Amanda, Peters-Clarke, Trenton M., Egbert, Susan B., Kreimer, Simion, Doud, Emma H., Crook, Oliver M., Yadav, Amit Kumar, Vanuopadath, Muralidharan, Mayta, Martín L., Duboff, Anna G., Riley, Nicholas M., Moritz, Robert L., Meyer, Jesse G.
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyz
Externí odkaz:
http://arxiv.org/abs/2311.07791
How predictable is the next move of an animal? Specifically, which factors govern the short- and long-term motion patterns and the overall dynamics of landbound, plant-eating animals and ruminants in particular? To answer this question, we here study
Externí odkaz:
http://arxiv.org/abs/2305.06601
Autor:
Sanchez, Adam, Meyer, François G.
This work addresses the rising demand for novel tools in statistical and machine learning for "graph-valued random variables" by proposing a fast algorithm to compute the sample Frechet mean, which replaces the concept of sample mean for graphs (or n
Externí odkaz:
http://arxiv.org/abs/2210.07401
Autor:
Ferguson, Daniel, Meyer, François G.
For graph-valued data sampled iid from a distribution $\mu$, the sample moments are computed with respect to a choice of metric. In this work, we equip the set of graphs with the pseudo-metric defined by the $\ell_2$ norm between the eigenvalues of t
Externí odkaz:
http://arxiv.org/abs/2207.02168
Autor:
Rando, Halie M., Brueffer, Christian, Lordan, Ronan, Dattoli, Anna Ada, Manheim, David, Meyer, Jesse G., Mundo, Ariel I., Perrin, Dimitri, Mai, David, Wellhausen, Nils, Consortium, COVID-19 Review, Gitter, Anthony, Greene, Casey S.
The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been critical. Diagnostic tests play a vital role in managing a viral threat
Externí odkaz:
http://arxiv.org/abs/2204.12598
Autor:
Anderson, Benton J., Meyer, Jesse G.
Wordle is an online word puzzle game that gained viral popularity in January 2022. The goal is to guess a hidden five letter word. After each guess, the player gains information about whether the letters they guessed are present in the word, and whet
Externí odkaz:
http://arxiv.org/abs/2202.00557
Autor:
Meyer, Francois G.
We address the following foundational question: what is the population, and sample, Frechet mean (or median) graph of an ensemble of inhomogeneous Erdos-Renyi random graphs? We prove that if we use the Hamming distance to compute distances between gr
Externí odkaz:
http://arxiv.org/abs/2201.11954
Autor:
Ferguson, Daniel, Meyer, Francois G.
To characterize the location (mean, median) of a set of graphs, one needs a notion of centrality that is adapted to metric spaces, since graph sets are not Euclidean spaces. A standard approach is to consider the Frechet mean. In this work, we equip
Externí odkaz:
http://arxiv.org/abs/2201.05923
Autor:
Ferguson, Daniel, Meyer, Francois G.
The availability of large datasets composed of graphs creates an unprecedented need to invent novel tools in statistical learning for graph-valued random variables. To characterize the average of a sample of graphs, one can compute the sample Frechet
Externí odkaz:
http://arxiv.org/abs/2105.14397