Results 11 to 20 of about 59,289 (169)
Transformers for modeling physical systems [PDF]
Neural Networks, 2022 22 pages, 14 figures, 3 ...
Nicholas Geneva, Nicholas Zabaras
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Axioms, 2023 Stock price prediction has been a subject of significant interest in the financial mathematics field. Recently, interest in natural language processing models has increased, and among them, transformer models, such as BERT and FinBERT, are attracting ...
Jihwan Kim, Hui-Sang Kim, Sun-Yong Choi
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Model transformations in MT [PDF]
Science of Computer Programming, 2007 Model transformations are recognised as a vital aspect of Model Driven Development, but current approaches cover only a small part of the possible spectrum. In this paper I present the MT model transformation which shows how a QVT-like language can be extended with novel pattern matching constructs, how tracing information can be automatically ...
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Multivariate conditional transformation models
Scandinavian Journal of Statistics, 2020 AbstractRegression models describing the joint distribution of multivariate responses conditional on covariate information have become an important aspect of contemporary regression analysis. However, a limitation of such models are the rather simplistic assumptions often made, for example, a constant dependence structure not varying with covariates or
Klein, Nadja +3 more
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Model transformations with Tom [PDF]
Proceedings of the Twelfth Workshop on Language Descriptions, Tools, and Applications, 2012 Model Driven Engineering (MDE) advocates the use of Model Transformations (MT) in order to automate repetitive development tasks. Many different model transformation languages have been proposed with a significant tool development cost as common language elements like expressions, statements, ...
Bach, Jean-Christophe +3 more
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Model Transformation as Conservative Theory-Transformation. [PDF]
The Journal of Object Technology, 2020 Model transformations play a central role in model-driven software development. Hence, logical unsafe model transformation can result in erroneous systems. Still, most model transformations are written in languages that do not provide built-in safeness guarantees.We present a new technique to construct tool support for domain-specific languages (DSLs ...
Brucker, AD, Tuong, F, Wolff, B
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Transformer-Based Approach for Predicting Transactive Energy in Neurorehabilitation
IEEE Transactions on Neural Systems and Rehabilitation EngineeringAdvancements in robotic neurorehabilitation have made it imperative to enhance the safety and personalization of physical human-robot interactions (pHRI).
Naveed Ahmad Khan +4 more
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Sentiment Analysis of ChatGPT Tweets Using Transformer Algorithms
Jurnal Informatika dan Rekayasa Perangkat Lunak, 2023 This study explores the application of the Transformer model in sentiment analysis of tweets generated by ChatGPT. We used a Kaggle dataset consisting of 217,623 instances labeled as "Good", "Bad", and "Neutral".
Sugeng Winardi +3 more
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Leveraging RAG With Transformer for Context-Based Personalized Recommendations
IEEE AccessRecent advancements in large language models (LLMs) have shown significant progress in addressing challenges related to data sparsity and the cold-start problem.
Faten S. Alamri +4 more
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Calculation and Investigation of Steady-State Asymmetric Modes of Three-Windings Three-Legs Power Transformer with Star/Star/Delta Windings Connection [PDF]
Problems of the Regional Energetics, 2018 For the purpose of calculation and studying of steady-state asymmetrical modes of operation of three-windings, three-leg power transformer with an arbitrary winding connection scheme the mathematical model is proposed.
Bosneaga V., Suslov V.
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