Results 41 to 50 of about 1,069,548 (321)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Semantics and Pragmatics, 2010 How do ordinary indicative conditionals manage to convey conditional information, information about what might or must be if such-and-such is or turns out to be the case?
Anthony S Gillies
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Clauses as Semantic Predicates: Difficulties for Possible-Worlds Semantics [PDF]
, 2020 The standard view of clauses embedded under attitude verbs or modal predicates is that they act as terms standing for propositions, a view that faces a range of philosophical and linguistic difficulties.
Moltmann, Friederike
core
, 2019 I present unexplored and unaccounted for uses of 'wants'. I call them advisory uses, on which information inaccessible to the desirer herself helps determine what she wants.
Jerzak, Ethan
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Advanced Intelligent Discovery, EarlyView.This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
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Hedging modal adverbs in Slovenian academic discourse
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2021 This paper first presents a comparative analysis of modal adverbs in doctoral theses in the humanities and social sciences on the one hand, and in natural and technical sciences on the other from the 1.7-billion-token corpus of Slovenian academic texts ...
Jakob Lenardič, Darja Fišer
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Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Presumptive mood, factivity and epistemic indefinites in Romanian
Borealis: An International Journal of Hispanic Linguistics, 2014 This paper investigates the properties of the Romanian presumptive mood and the role it plays in the distribution of the epistemic indefinite vreun. We focus on the morphologically complex future-based paradigm, which includes forms based on the literary
Anamaria Falaus
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, 2019 We present an inferentialist account of the epistemic modal operator might. Our starting point is the bilateralist programme. A bilateralist explains the operator not in terms of the speech act of rejection ; we explain the operator might in terms of ...
Incurvati, Luca, Schlöder, Julian J.
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Epistemic Future and epistemic modal verbs in Portuguese
Journal of Portuguese Linguistics, 2020 This paper discusses the semantics of two epistemic operators in Portuguese: the epistemic Future and modal verbs. The idea sustained in the literature for other languages that the epistemic Future has the same semantics as the modal verb (equivalent to) MUST does not account for the Portuguese data.
openaire +3 more sources