associative wikipedia - EAS
Associative property - Wikipedia
https://en.wikipedia.org/wiki/Associative_propertyIn mathematics, the associative property is a property of some binary operations, which means that rearranging the parentheses in an expression will not change the result. In propositional logic, associativity is a valid rule of replacement for expressions in logical proofs.. Within an expression containing two or more occurrences in a row of the same associative operator, the order in …
Associative array - Wikipedia
https://en.wikipedia.org/wiki/Associative_arrayIn computer science, an associative array, map, symbol table, or dictionary is an abstract data type that stores a collection of (key, value) pairs, such that each possible key appears at most once in the collection.In mathematical terms an associative array is a function with finite domain. It supports 'lookup', 'remove', and 'insert' operations. The dictionary problem is the classic …
Magma (algebra) - Wikipedia
https://en.wikipedia.org/wiki/Magma_(algebra)Power-associative If the submagma generated by any element is associative Flexible if xy • x ≡ x • yx A semigroup, or associative If it satisfies the identity x • yz ≡ xy • z A left unar If it satisfies the identity xy ≡ xz A right unar If it satisfies the identity yx ≡ zx Semigroup with zero multiplication, or null semigroup
Learning - Wikipedia
https://en.wikipedia.org/wiki/LearningHabituation is an example of non-associative learning in which one or more components of an innate response (e.g., response probability, response duration) to a stimulus diminishes when the stimulus is repeated. Thus, habituation must be distinguished from extinction, which is an associative process.In operant extinction, for example, a response declines because it is no …
Associative entity - Wikipedia
https://en.wikipedia.org/wiki/Associative_entityAn associative entity is a term used in relational and entity–relationship theory. A relational database requires the implementation of a base relation (or base table) to resolve many-to-many relationships. A base relation representing this kind of entity is called, ...
Exponentiation - Wikipedia
https://en.wikipedia.org/wiki/ExponentiationThe following identities, often called exponent rules, hold for all integer exponents, provided that the base is non-zero: + = = = Unlike addition and multiplication, exponentiation is not commutative.For example, 2 3 = 8 ≠ 3 2 = 9.Also unlike addition and multiplication, exponentiation is not associative.For example, (2 3) 2 = 8 2 = 64, whereas 2 (3 2) = 2 9 = 512.
Soviet montage theory - Wikipedia
https://en.wikipedia.org/wiki/Soviet_montage_theorySoviet montage theory is an approach to understanding and creating cinema that relies heavily upon editing (montage is French for "assembly" or "editing"). It is the principal contribution of Soviet film theorists to global cinema, and brought formalism to bear on filmmaking.. Although Soviet filmmakers in the 1920s disagreed about how exactly to view montage, Sergei …
YAML - Wikipedia
https://en.wikipedia.org/wiki/YAMLYAML (/ˈjæməl/ and YAH-ml) (see § History and name) is a human-readable data-serialization language.It is commonly used for configuration files and in applications where data is being stored or transmitted. YAML targets many of the same communications applications as Extensible Markup Language (XML) but has a minimal syntax which intentionally differs from SGML.
Play (activity) - Wikipedia
https://en.wikipedia.org/wiki/Play_(activity)Play is a range of intrinsically motivated activities done for recreational pleasure and enjoyment. Play is commonly associated with children and juvenile-level activities, but may be engaged in at any life stage, and among other higher-functioning animals as well, most notably mammals and birds.. Many prominent researchers in the field of psychology, including Melanie Klein, Jean …
Recurrent neural network - Wikipedia
https://en.wikipedia.org/wiki/Recurrent_neural_networkA recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows it to exhibit temporal dynamic behavior. Derived from feedforward neural networks, RNNs can use their internal state (memory) to process variable length …