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pro vyhledávání: '"Anderson, Mark A"'
We introduce a new quantity known as the network heterogeneity index, denoted by $\mathcal{H}$, which facilitates the investigation of disease propagation and population persistence in heterogeneous environments. Our mathematical analysis reveals tha
Externí odkaz:
http://arxiv.org/abs/2410.09154
Autor:
Heirwegh, Christopher M., Elam, William Timothy, Liu, Yang, Das, Anusheela, Hummel, Christopher, Naylor, Bret, Wade, Lawrence A., Allwood, Abigail C., Hurowitz, Joel A., Armstrong, Les G., Bacop, Naomi, O'Neil, Lauren P., Sinclair, Kimberly P., Sondheim, Michael E., Denise, Robert W., Lawson, Peter R., Rosas, Rogelio, Kawamura, Jonathan H., Au, Mitchell H., Kitiyakara, Amarit, Foote, Marc C., Romero, Raul A., Anderson, Mark S., Rossman, George R., Clark III, Benton C.
The Planetary Instrument for X-ray Lithochemistry (PIXL) is a rasterable focused-beam X-ray fluorescence (XRF) spectrometer mounted on the arm of National Aeronautics and Space Administration's (NASA) Mars 2020 Perseverance rover. To ensure that PIXL
Externí odkaz:
http://arxiv.org/abs/2402.01544
Text sanitization is the task of redacting a document to mask all occurrences of (direct or indirect) personal identifiers, with the goal of concealing the identity of the individual(s) referred in it. In this paper, we consider a two-step approach t
Externí odkaz:
http://arxiv.org/abs/2310.14312
While much of modern speech and audio processing relies on deep neural networks trained using fixed audio representations, recent studies suggest great potential in acoustic frontends learnt jointly with a backend. In this study, we focus specificall
Externí odkaz:
http://arxiv.org/abs/2302.10014
Autor:
Anderson, Mark1 (AUTHOR) mark.anderson@haskayne.ucalgary.ca, Mashruwala, Raj1 (AUTHOR), Wang, Ye2 (AUTHOR), Zhao, Rong1 (AUTHOR)
Publikováno v:
Contemporary Accounting Research. Winter2023, Vol. 40 Issue 4, p2226-2255. 30p.
PoS tags, once taken for granted as a useful resource for syntactic parsing, have become more situational with the popularization of deep learning. Recent work on the impact of PoS tags on graph- and transition-based parsers suggests that they are on
Externí odkaz:
http://arxiv.org/abs/2210.15219
Autor:
Anderson, Mark, Harte, Naomi
Autonomous recording units and passive acoustic monitoring present minimally intrusive methods of collecting bioacoustics data. Combining this data with species agnostic bird activity detection systems enables the monitoring of activity levels of bir
Externí odkaz:
http://arxiv.org/abs/2210.00889
Publikováno v:
Computational Linguistics, 48(3):517-554, 2022
We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the directed distance of edges) seen in training and test data. We hypothesize t
Externí odkaz:
http://arxiv.org/abs/2209.07139
Autor:
Sun, Sicheng, Rankouhi, Behzad, Thoma, Dan J., Jentz, Ian W., Anderson, Mark H., Qian, Xiaoping
Publikováno v:
In International Journal of Heat and Mass Transfer January 2025 236 Part 2
Autor:
Anderson, Mark, Camacho-Collados, Jose
The increase in performance in NLP due to the prevalence of distributional models and deep learning has brought with it a reciprocal decrease in interpretability. This has spurred a focus on what neural networks learn about natural language with less
Externí odkaz:
http://arxiv.org/abs/2205.07603