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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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Francesc Torres-Tamarit
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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 +2 more
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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 +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), 2018This 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 +2 more
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Learnability in Optimality Theory
Linguistic Inquiry, 1998In 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, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Annual Review of Anthropology, 1999
▪ Abstract Optimality theory was introduced in the early 1990s as an alternative model of the organization of natural human language sound systems. This article provides an introduction to the model for the nonlinguist. The basic principles of optimality theory are introduced and explained (GEN, CON, and EVAL).
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▪ Abstract Optimality theory was introduced in the early 1990s as an alternative model of the organization of natural human language sound systems. This article provides an introduction to the model for the nonlinguist. The basic principles of optimality theory are introduced and explained (GEN, CON, and EVAL).
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Language and Linguistics Compass, 2007
Abstract The mechanism of constraint re‐ranking basis makes Optimality Theory (OT) a typologically oriented theory of phonology. Permuting the prioritization of constraints on a language‐specific basis generates a factorial typology of phonological patterns.
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Abstract The mechanism of constraint re‐ranking basis makes Optimality Theory (OT) a typologically oriented theory of phonology. Permuting the prioritization of constraints on a language‐specific basis generates a factorial typology of phonological patterns.
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Nature, 1960
Ross1 asks for a definition of the goodness of a game. A reasonable answer, though presumably incomplete, is that a game is good in so far as it involves skill. A measure, γ, for the degree to which a game is one of skill may also be of legalistic interest in those countries where gambling is somewhat against the law.
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Ross1 asks for a definition of the goodness of a game. A reasonable answer, though presumably incomplete, is that a game is good in so far as it involves skill. A measure, γ, for the degree to which a game is one of skill may also be of legalistic interest in those countries where gambling is somewhat against the law.
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