Results 231 to 240 of about 239,489 (284)

Optimality as a framework for understanding developmental robustness.

Trends Cell Biol
Moghe P, Hannezo E, Hiiragi T.
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Optimality Theory

2022
Το συγκεκριμένο σύγγραμμα απευθύνεται σε προπτυχιακούς φοιτητές/τριες που ειδικεύονται στη Γλωσσολογία και, ειδικότερα, στο γνωστικό πεδίο της Φωνολογίας. Βασικός στόχος είναι η εξοικείωσή τους με τη Θεωρία του Βέλτιστου (Optimality Theory, ΟΤ, Prince & Smolensky 1993, McCarthy & Prince 1993, 1994, 1995), η οποία αποτέλεσε ιστορική τομή στην ...
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Optimality Theory

The optimality approach is a method for investigating evolutionary adaptations. It involves constructing one or more mathematical models based on the constraints and selective forces that are hypothesized to have generated a given trait by natural selection. The aim is not to demonstrate that traits are optimal.
Francesc Torres-Tamarit
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Optimized consensus theory

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
Statistical classification methods based on consensus from several data sources are considered. The methods need weighting mechanisms to control the influence of each data source in the combined classification. The weights are optimized in order to improve the combined classification accuracies. Both linear and non-linear methods are considered for the
Jón Atli Benediktsson, Johannes R. Sveinsson, Philip H. Swain   +2 more
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Optimal Taxation in Theory [PDF]

SSRN Electronic Journal, 2019
In this paper optimal income taxation theories are subject of investigation following the classic paper in public finance by Mirrlees (1971), than the models of Sadka (1976), Seade,(1977), Akerlof (1978), Stiglitz (1982), Diamond (1998), and Saez (2001), Piketty-Saez-Stantcheva (2014), all related to the classic paper by Mirrlees (1971). The problem is
Josheski, Dushko, Boskov, Tatjana
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A theory of optimal deadlines [PDF]

Journal of Economic Dynamics and Control, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Category Theory for Optimization

2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018
This paper shows how concepts coming from category theory can help to improve the algorithms dealing with large set of data. Data structures can be modeled by functors that are related by natural transformations usable both to reduce data size or to shift an algorithm applicable to a particular data structure to an equivalent algorithm for another data
Heng Zhao, Laurent Thiry, Michel Hassenforder   +2 more
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Learnability in Optimality Theory

Linguistic Inquiry, 1998
In this article we show how Optimality Theory yields a highly general Constraint Demotion principle for grammar learning. The resulting learning procedure specifically exploits the grammatical structure of Optimality Theory, independent of the content of substantive constraints defining any given grammatical module.
Tesar, Bruce, Smolensky, Paul
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To the theory of optimal splines

Applied Mathematics and Computation, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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