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1. Circuit complexity: In theoretical computer science, circuit complexity is a branch of computational complexity theory in which Boolean functions are classified according to the size or depth of the Boolean circuits that compute them. A related notion is the circuit complexity of ... (Model of computational complexity) [100%] 2024-06-11 [Circuit complexity] [Computational complexity theory]...
2. Arithmetic circuit complexity: In computational complexity theory, arithmetic circuits are the standard model for computing polynomials. Informally, an arithmetic circuit takes as inputs either variables or numbers, and is allowed to either add or multiply two expressions it has already computed. [81%] 2023-09-27 [Circuit complexity]

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1. Complexity: The complexity of a physical system or a dynamical process expresses the degree to which components engage in organized structured interactions. High complexity is achieved in systems that exhibit a mixture of order and disorder (randomness and regularity) and that ... [75%] 2021-12-24 [Computational Neuroscience] [Computational Intelligence]...
2. Complexity: This Philosophy resource is a "stub". Learn how you can help Wikiversity to develop it. [75%] 2024-01-03 [Philosophy]
3. Complexité: La complexité caractérise le comportement d'un système dont les composants interagissent localement et de façon non linéaire, ce qui se traduit par un comportement difficilement prédictible. La complexité peut donc caractériser un système « composé d'un grand nombre d'éléments interagissant sans ... [68%] 2024-10-29
4. Circuit (computer science): In theoretical computer science, a circuit is a model of computation in which input values proceed through a sequence of gates, each of which computes a function. Circuits of this kind provide a generalization of Boolean circuits and a mathematical ... (Computer science) [65%] 2023-12-31 [Theory of computation] [Circuit complexity]...
5. Circuit (film): Circuit is a 2002 gay-themed independent film set in the world of gay circuit parties. Written by Dirk Shafer and Gregory Hinton and directed by Shafer, Circuit follows the lives of several people involved in the circuit party scene. (Film) [65%] 2024-01-03 [2001 LGBT-related films] [2000s English-language films]...
6. Circuit (computer science): In theoretical computer science, a circuit is a model of computation in which input values proceed through a sequence of gates, each of which computes a function. Circuits of this kind provide a generalization of Boolean circuits and a mathematical ... (Computer science) [65%] 2023-09-21 [Theory of computation] [Circuit complexity]...
7. Circuit: CIRCUIT sur'-kit, "a going around": Used to represent several Hebrew words in several senses, e.g. the sun's orbit (tequphah), Psalms 19:6; the vault of the heavens (chugh), Job 22:14 the King James Version; the circuit ... [65%] 1915-01-01
8. Circuit: Circuit, the act of moving round; so circumference, or anything encircling or encircled. The word is particularly known as a law term, signifying the periodical progress of a legal tribunal for the purpose of carrying out the administration of the ... [65%] 2022-09-02
9. Complexin: Complexin (also known as synaphin) refers to a one of a small set of eukaryotic cytoplasmic neuronal proteins which binds to the SNARE protein complex (SNAREpin) with a high affinity. These are called synaphin 1 and 2. [58%] 2024-01-03 [Proteins]
10. Compilation complexity: Compilation complexity is the smallest number of bits required to summarize a input to a function, such that the output of the function can be computed correctly. The notion was particulatly studied in voting theory. [53%] 2023-12-22 [Voting theory]
11. Sample complexity: The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function. More precisely, the sample complexity is the number of training-samples that we need to ... [53%] 2023-12-08 [Machine learning]
12. Complexity management: Complexity management is a business methodology that deals with the analysis and optimization of complexity in enterprises. Effective complexity management is based on four pillars: alignment with the overall strategy of the company, transparency over all costs and benefits of ... (Social) [53%] 2023-05-30 [Strategic management]
13. Spatial complexity: In mathematics, spatial complexity is defined as the complexity of a spatial entity, whether it is a surface or a solid body, or even a spatial object of dimension two or higher. Whatever the spatial object, the description and assessment ... [53%] 2023-05-30 [Mathematics]
14. BIO-Complexity: BIO-Complexity is an open access journal published by the weirdly named Biologic Institute, a lame front for creation science. The journal "aims to be the leading forum for testing the scientific merit of the claim that intelligent design (ID ... [53%] 2023-05-22 [Pseudoscience] [Propaganda]...
15. Specified complexity: Specified complexity is a creationist argument introduced by William Dembski, used by advocates to promote the pseudoscience of intelligent design. According to Dembski, the concept can formalize a property that singles out patterns that are both specified and complex, where ... (Creationist argument by William Dembski) [53%] 2023-03-24 [Intelligent design] [Creationist objections to evolution]...
16. Complexity Gaming: CompLexity Gaming (сокращённо — «coL») — профессиональная киберспортивная организация, основанная Джейсоном Лейком в 2003 году и находящаяся в Лос-Анджелесе. Перед созданием complexity Джейсон Лейк несколько месяцев играл в любительской команде по Counter-Strike, однако после совета жены решил создать свой клан. [53%] 2024-01-08
17. Compilation complexity: Compilation complexity is the smallest number of bits required to summarize a input to a function, such that the output of the function can be computed correctly. The notion was particularly studied in voting theory. [53%] 2024-01-26 [Voting theory]
18. Sample complexity: The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function. More precisely, the sample complexity is the number of training-samples that we need to ... [53%] 2024-01-26 [Machine learning]