Results 11 to 20 of about 85,416 (307)
A Transformer Model for Retrosynthesis [PDF]
, 2019 AbstractWe describe a Transformer model for a retrosynthetic reaction prediction task. The model is trained on 45 033 experimental reaction examples extracted from USA patents. It can successfully predict the reactants set for 42.7% of cases on the external test set.
Pavel Karpov +2 more
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Chaining model transformations [PDF]
Proceedings of the First Workshop on the Analysis of Model Transformations, 2012 Model transformation is one of the key practices of Model-Driven Engineering. Building very large model transformations may benefit from the construction of small transformations , in order to manage complexity and enhance reusabil-ity, maintainability and modularity.
Etien, Anne +3 more
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Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? [PDF]
, 2023 This work presents a linguistic analysis into why larger Transformer-based pre-trained language models with more parameters and lower perplexity nonetheless yield surprisal estimates that are less predictive of human reading times.
Byung-Doh Oh, William Schuler
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Estimating log models: to transform or not to transform? [PDF]
Journal of Health Economics, 2001 Health economists often use log models to deal with skewed outcomes, such as health utilization or health expenditures. The literature provides a number of alternative estimation approaches for log models, including ordinary least-squares on ln(y) and generalized linear models.
Willard G. Manning, John Mullahy
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Equivalent Permeability of Step-Lap Joints of Transformer Cores: Computational and Experimental Considerations [PDF]
, 2011 The paper develops an efficient computational method for establishing equivalent characteristics of magnetic joints of transformer cores, with special emphasis on step-lap design.
Napieralska-Juszczak, E. +14 more
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A transformation definition metamodel for model transformation [PDF]
International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II, 2005 Automated model transformation from PIMs to PSMs is a pivotal challenge of model driven development. Since models are usually represented in a graphic manner of class diagram (CD), current graphic-transformation based approach seems to be a natural approach. To overcome deficiencies of this approach, i.e.
Jin Liu +4 more
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Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
, 2022 Meaningful exploration of the chemical space of druglike molecules in drug design is a highly challenging task due to a combinatorial explosion of possible modifications of molecules.
Brajesh, Rai +2 more
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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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Learning models of plant behavior for anomaly detection and condition monitoring [PDF]
, 2007 Providing engineers and asset managers with a too] which can diagnose faults within transformers can greatly assist decision making on such issues as maintenance, performance and safety. However, the onus has always been on personnel to accurately decide
Catterson, V.M. +11 more
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Applied Sciences, 2021 Most of the models proposed in the literature for abstractive summarization are generally suitable for the English language but not for other languages.
Vicent Ahuir +3 more
doaj +1 more source