Results 1 to 10 of about 1,895,263 (209)
A comparison of combined data assimilation and machine learning methods for offline and online model error correction [PDF]
Journal of Computer Science, 2021 Recent studies have shown that it is possible to combine machine learning methods with data assimilation to reconstruct a dynamical system using only sparse and noisy observations of that system.
A. Farchi +4 more
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Daengku Journal of Humanities and Social Sciences Innovation, 2022 Macroeconomic variables are still interesting to study because some studies still find inconsistent results and dependence on the dynamics of the capital market and international financial markets, especially when there is turmoil in the domestic and ...
Andini Cahyaning Pratiwi +2 more
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, 2021 Vector Error Correction Model is a cointegrated VAR model. This idea of Vector Error Correction Model (VECM), which consists of a VAR model of the order p - 1 on the differences of the variables, and an error-correction term derived from the known ...
S. Winarno +4 more
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English Grammar Error Correction Algorithm Based on Classification Model
Complex, 2021 English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners.
Shanchun Zhou, Wei Liu
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SAGE Open, 2020 This study examines the nexus between financial development and energy consumption/use in Sub-Saharan Africa (SSA) using a panel vector error correction model (VECM), cointegration, and Granger causality tests over the period ranging from 1975 to 2017 ...
Chigozie Nelson Nkalu +4 more
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Journal of Electroanalytical Chemistry, 2021 DFT modelling of the oxygen reduction and evolution reactions (ORR and OER) habitually makes use of semiempirical corrections to oxygen in the gas phase. Although such corrections are tacit in the model, they should not be overlooked. In this article, we
E. Sargeant +3 more
semanticscholar +1 more source
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation [PDF]
arXiv.org, 2023 ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks.
Tao Fang +6 more
semanticscholar +1 more source
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark [PDF]
arXiv.org, 2023 ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering follow-up questions.
Hao Wu +4 more
semanticscholar +1 more source
Can Generative Large Language Models Perform ASR Error Correction? [PDF]
arXiv.org, 2023 ASR error correction is an interesting option for post processing speech recognition system outputs. These error correction models are usually trained in a supervised fashion using the decoding results of a target ASR system.
Rao Ma +4 more
semanticscholar +1 more source