Zobrazeno 1 - 10
of 9 652
pro vyhledávání: '"Reeve, P A"'
Autor:
Reeve, Henry W J
We consider a semi-supervised classification problem with non-stationary label-shift in which we observe a labelled data set followed by a sequence of unlabelled covariate vectors in which the marginal probabilities of the class labels may change ove
Externí odkaz:
http://arxiv.org/abs/2405.18091
Autor:
Yu, Min Gyung, Mukherjee, Monish, Poudela, Shiva, Bender, Sadie R., Hanif, Sarmad, Hardy, Trevor D., Reeve, Hayden M.
Publikováno v:
Appl. Energy.368(2024)123450
Extreme temperature outages can lead to not just economic losses but also various non-energy impacts (NEI) due to significant degradation of indoor operating conditions caused by service disruptions. However, existing resilience assessment approaches
Externí odkaz:
http://arxiv.org/abs/2405.03575
Autor:
Reeve, Henry W J
The Dvoretzky--Kiefer--Wolfowitz--Massart inequality gives a sub-Gaussian tail bound on the supremum norm distance between the empirical distribution function of a random sample and its population counterpart. We provide a short proof of a result tha
Externí odkaz:
http://arxiv.org/abs/2403.16651
Autor:
Reeve, Pedro Diaz, Serenelli, Aldo
Publikováno v:
Research Notes of the AAS, 2023
We present a comparative study of the effect of low-temperature opacities on stellar models up to the Red Giant branch (RGB), computed with the GARching STellar Evolution Code. We have used two sets of low-temperature opacities; {\AE}SOPUS ({\AE}) fr
Externí odkaz:
http://arxiv.org/abs/2309.10490
Recognizing text lines from images is a challenging problem, especially for handwritten documents due to large variations in writing styles. While text line recognition models are generally trained on large corpora of real and synthetic data, such mo
Externí odkaz:
http://arxiv.org/abs/2308.15037
Language models are useful adjuncts to optical models for producing accurate optical character recognition (OCR) results. One factor which limits the power of language models in this context is the existence of many specialized domains with language
Externí odkaz:
http://arxiv.org/abs/2308.09671
Autor:
Daria Sokolova, Tara C. Lurshay, Jack S. Rowbotham, Georgia Stonadge, Holly A. Reeve, Sarah E. Cleary, Tim Sudmeier, Kylie A. Vincent
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Cleaner synthesis of amines remains a key challenge in organic chemistry because of their prevalence in pharmaceuticals, agrochemicals and synthetic building blocks. Here, we report a different paradigm for chemoselective hydrogenation of ni
Externí odkaz:
https://doaj.org/article/8edcc78d71dd4cfc9cd2538d818cff90
Autor:
Ruder, Sebastian, Clark, Jonathan H., Gutkin, Alexander, Kale, Mihir, Ma, Min, Nicosia, Massimo, Rijhwani, Shruti, Riley, Parker, Sarr, Jean-Michel A., Wang, Xinyi, Wieting, John, Gupta, Nitish, Katanova, Anna, Kirov, Christo, Dickinson, Dana L., Roark, Brian, Samanta, Bidisha, Tao, Connie, Adelani, David I., Axelrod, Vera, Caswell, Isaac, Cherry, Colin, Garrette, Dan, Ingle, Reeve, Johnson, Melvin, Panteleev, Dmitry, Talukdar, Partha
Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- languages for which NLP re-search is particularly far behind in meeting user needs -- it is feasible to annotat
Externí odkaz:
http://arxiv.org/abs/2305.11938
Given a sample of covariate-response pairs, we consider the subgroup selection problem of identifying a subset of the covariate domain where the regression function exceeds a pre-determined threshold. We introduce a computationally-feasible approach
Externí odkaz:
http://arxiv.org/abs/2305.04852
Publikováno v:
Neurological Research and Practice, Vol 6, Iss 1, Pp 1-3 (2024)
Abstract As a chronic inflammatory disease of the central nervous system, multiple sclerosis (MS) is of great individual health and socio-economic significance. To date, there is no prognostic model that is used in routine clinical care to predict th
Externí odkaz:
https://doaj.org/article/214aeca5bd4c42d6be7c3459a8c622d8