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In formal semantics, a generalized quantifier (GQ) is an expression that denotes a set of sets.This is the standard semantics assigned to quantified noun phrases.For example, the generalized quantifier every boy denotes the set of sets of which every boy is a member: {()}
Each kind of quantification defines a corresponding closure operator on the set of formulas, by adding, for each free variable x, a quantifier to bind x. [9] For example, the existential closure of the open formula n >2 ∧ x n + y n = z n is the closed formula ∃ n ∃ x ∃ y ∃ z ( n >2 ∧ x n + y n = z n ); the latter formula, when ...
EGL is an interface between Khronos rendering APIs (such as OpenGL, OpenGL ES or OpenVG) and the underlying native platform windowing system. EGL handles graphics context management, surface / buffer binding, rendering synchronization, and enables "high-performance, accelerated, mixed-mode 2D and 3D rendering using other Khronos APIs."
EGL (Enterprise Generation Language), originally developed by IBM and now available as the EDT (EGL Development Tools) [1] open source project under the Eclipse Public License (EPL), is a programming technology designed to meet the challenges of modern, multi-platform application development by providing a common language and programming model across languages, frameworks, and runtime platforms.
In logic a branching quantifier, [1] also called a Henkin quantifier, finite partially ordered quantifier or even nonlinear quantifier, is a partial ordering [2] … of quantifiers for Q ∈ {∀,∃}.
In machine learning and data mining, quantification (variously called learning to quantify, or supervised prevalence estimation, or class prior estimation) is the task of using supervised learning in order to train models (quantifiers) that estimate the relative frequencies (also known as prevalence values) of the classes of interest in a sample of unlabelled data items.
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Higher-order logic is the union of first-, second-, third-, ..., nth-order logic; i.e., higher-order logic admits quantification over sets that are nested arbitrarily deeply. Semantics [ edit ]