Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Boley, Daniel"'
Autor:
Zhang, Yi, Boley, Daniel
Due to its implication in cancer treatment, the Warburg Effect has received extensive in silico investigation. Flux Balance Analysis (FBA), based on constrained optimization, was successfully applied in the Warburg Effect modelling. Yet, the assumpti
Externí odkaz:
http://arxiv.org/abs/2111.12145
Autor:
Sun, Ju, Peng, Le, Li, Taihui, Adila, Dyah, Zaiman, Zach, Melton, Genevieve B., Ingraham, Nicholas, Murray, Eric, Boley, Daniel, Switzer, Sean, Burns, John L., Huang, Kun, Allen, Tadashi, Steenburg, Scott D., Gichoya, Judy Wawira, Kummerfeld, Erich, Tignanelli, Christopher
Importance: An artificial intelligence (AI)-based model to predict COVID-19 likelihood from chest x-ray (CXR) findings can serve as an important adjunct to accelerate immediate clinical decision making and improve clinical decision making. Despite si
Externí odkaz:
http://arxiv.org/abs/2106.02118
Autor:
Boley, Daniel
The Laplacian matrix and its pseudo-inverse for a strongly connected directed graph is fundamental in computing many properties of a directed graph. Examples include random-walk centrality and betweenness measures, average hitting and commute times,
Externí odkaz:
http://arxiv.org/abs/2002.12773
Autor:
Agrawal, Saurabh, Steinbach, Michael, Boley, Daniel, Chatterjee, Snigdhansu, Atluri, Gowtham, Dang, Anh The, Liess, Stefan, Kumar, Vipin
In many domains, there is significant interest in capturing novel relationships between time series that represent activities recorded at different nodes of a highly complex system. In this paper, we introduce multipoles, a novel class of linear rela
Externí odkaz:
http://arxiv.org/abs/1810.02950
Random walks over directed graphs are used to model activities in many domains, such as social networks, influence propagation, and Bayesian graphical models. They are often used to compute the importance or centrality of individual nodes according t
Externí odkaz:
http://arxiv.org/abs/1808.02912
We introduce the avoidance Markov metrics and theories which provide more flexibility in the design of random walk and impose new conditions on the walk to avoid (or transit) a specific node (or a set of nodes) before the stopping criteria. These the
Externí odkaz:
http://arxiv.org/abs/1807.06420
We first present a comprehensive review of various random walk metrics used in the literature and express them in a consistent framework. We then introduce fundamental tensor -- a generalization of the well-known fundamental matrix -- and show that c
Externí odkaz:
http://arxiv.org/abs/1801.08583
Autor:
Boley, Daniel
Publikováno v:
In Linear Algebra and Its Applications 15 August 2021 623:128-148
Publikováno v:
In Journal of Clinical Neuroscience August 2021 90:206-211
We establish local linear convergence bounds for the ISTA and FISTA iterations on the model LASSO problem. We show that FISTA can be viewed as an accelerated ISTA process. Using a spectral analysis, we show that, when close enough to the solution, bo
Externí odkaz:
http://arxiv.org/abs/1501.02888