Results 31 to 40 of about 96,492 (169)
The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment [PDF]
Hydrology and Earth System Sciences, 2023 As a genre of physics-informed machine learning, differentiable process-based hydrologic models (abbreviated as δ or delta models) with regionalized deep-network-based parameterization pipelines were recently shown to provide daily streamflow prediction ...
D. Feng, H. Beck, K. Lawson, C. Shen
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Relationship Between Arm Span Measurements And Body Height In Mojkovac [PDF]
Journal of Anthropology of Sport and Physical Education, 2018 In light of rather sparse recent scientific literature, the purpose of this research study was to examine the body height in both sexes of Montenegrin adults nowadays.
Marko Knezevic
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PM2.5 ∕ PM10 ratio prediction based on a long short-term memory neural network in Wuhan, China [PDF]
Geoscientific Model Development, 2020 Air pollution is a serious problem in China that urgently needs to be addressed. Air pollution has a great impact on the lives of citizens and on urban development. The particulate matter (PM) value is usually used to indicate the degree of air pollution.
X. Wu, X. Wu, Y. Wang, S. He, Z. Wu
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SPAN: A Simple Predict & Align Network for Handwritten Paragraph Recognition [PDF]
, 2021 Unconstrained handwriting recognition is an essential task in document analysis. It is usually carried out in two steps. First, the document is segmented into text lines. Second, an Optical Character Recognition model is applied on these line images. We propose the Simple Predict & Align Network: an end-to-end recurrence-free Fully Convolutional ...
Coquenet, Denis +2 more
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Relationship between Arm Span Measurements and Body Height in Kolasin [PDF]
Journal of Anthropology of Sport and Physical Education, 2018 The unusual height of Montenegrin inhabitants of the highland region has been recognised by European anthropologists more than 100 years ago. In light of rather sparse recent scientific literature, the purpose of this research study was to examine the ...
Milos Kovacevic
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SpanNER: Named Entity Re-/Recognition as Span Prediction [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Recent years have seen the paradigm shift of Named Entity Recognition (NER) systems from sequence labeling to span prediction. Despite its preliminary effectiveness, the span prediction model's architectural bias has not been fully understood. In this paper, we first investigate the strengths and weaknesses when the span prediction model is used for ...
Fu, Jinlan +2 more
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Online Minimum Spanning Trees with Weight Predictions
, 2023 We consider the minimum spanning tree problem with predictions, using the weight-arrival model, i.e., the graph is given, together with predictions for the weights of all edges. Then the actual weights arrive one at a time and an irrevocable decision must be made regarding whether or not the edge should be included into the spanning tree.
Magnus Berg +3 more
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Machine-learning methods for stream water temperature prediction [PDF]
Hydrology and Earth System Sciences, 2021 Water temperature in rivers is a crucial environmental factor with the ability to alter hydro-ecological as well as socio-economic conditions within a catchment.
M. Feigl +3 more
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CorefQA: Coreference Resolution as Query-based Span Prediction [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 In this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task. We formulate the problem as a span prediction task, like in question answering: A query is generated for each candidate mention using its surrounding context, and a span prediction module is employed to extract the text spans of the coreferences ...
Wei Wu +4 more
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Maximum Life Span Predictions From the Gompertz Mortality Model [PDF]
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 1996 This study examined maximum life span predictions obtained with the Gompertz mortality rate model, which assumes that there is a constant rate of acceleration in the age-related mortality of adult populations. The influence of population size N on the maximum life span (tmax) was shown to be small, because the numeric impact of N is reduced to ln[ln(N)]
C E, Finch, M C, Pike
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