For statistics in probability theory, the Boolean-Poisson model or simply Boolean model for a random subset of the plane (or higher dimensions, analogously)...

function that determines Boolean values or operators Boolean model (probability theory), a model in stochastic geometry Boolean network, a certain network...

simple power scheme. Stochastic geometry models of wireless networks Random graphs Boolean model (probability theory) Percolation thresholds Meester, R. (1996)...

the Boolean algebra of statements may be finite. Other axiomatizations have been suggested by various authors with the purpose of making the theory more...

pseudo-Boolean function; tools from the analysis of Boolean functions can be applied to describe and study it. The configuration probability is given...

Analysis of Boolean functions Balanced Boolean function Bent function Boolean algebras canonically defined Boolean function Boolean matrix Boolean-valued function...

model—usually called a "statistical model"—randomness is present, and variable states are not described by unique values, but rather by probability distributions...

The (standard) Boolean model of information retrieval (BIR) is a classical information retrieval (IR) model and, at the same time, the first and most-adopted...

and BIC (Bayesian information criterion). Boolean model (probability theory) Continuum percolation theory Compound Poisson process Cox process Point...

yes–no question, and each with its own Boolean-valued outcome: success (with probability p) or failure (with probability q = 1 − p). A single success/failure...

mathematical model for obtaining a random graph, a site is "occupied" with probability p or "empty" (in which case its edges are removed) with probability 1 –...

form (Boolean algebra) Boolean conjunctive query Boolean-valued model Boolean domain Boolean expression Boolean ring Boolean function Boolean-valued...

computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe...

In the mathematical field of graph theory, the Erdős–Rényi model refers to one of two closely related models for generating random graphs or the evolution...

In mathematics and mathematical logic, Boolean algebra is a branch of algebra. It differs from elementary algebra in two ways. First, the values of the...

In logic and computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated SATISFIABILITY...

of a probability theory for jointly modelling uncertainty and vagueness. Bart Kosko claims in Fuzziness vs. Probability that probability theory is a subtheory...

Product". Probability Course. Retrieved 2020-09-05. Vereshchagin, Nikolai Konstantinovich; Shen, Alexander (2002-01-01). Basic Set Theory. American Mathematical...

number Algebraic logic Boolean algebra (logic) Dialectica space categorical logic Finite model theory Descriptive complexity theory Model checking Trakhtenbrot's...

set theory and fuzzy set theory, in which the value of an atomic formula embodying the membership relation is not simply True or False. The Boolean-valued...

function that determines Boolean values or operators Boolean model (probability theory), a model in stochastic geometry Boolean network, a certain network...

complexity theory, the language TQBF is a formal language consisting of the true quantified Boolean formulas. A (fully) quantified Boolean formula is...

Cryptographic limitations on learning boolean formulae and finite automata. In Proceedings of the 21st Annual ACM Symposium on Theory of Computing, pages 433–444...

probabilistic model, probability theory has been used as a principal means for modeling the retrieval process in mathematical terms. The probability model of information...

resources, whatever the algorithm used. The theory formalizes this intuition, by introducing mathematical models of computation to study these problems and...

{\phi } (g)=(\psi (1),\dots ,\psi (n)).} Probability theory Possibility theory Gustave Choquet (1953). "Theory of Capacities". Annales de l'Institut Fourier...

set theory. Algebra of sets Axiom of choice Axiom of countable choice Axiom of dependent choice Zorn's lemma Axiom of power set Boolean-valued model Burali-Forti...

first-order theory is given by a set of axioms in some language. This entry lists some of the more common examples used in model theory and some of their...

laws of probability theory from a certain set of postulates. This derivation justifies the so-called "logical" interpretation of probability, as the laws...

logical function), used in logic. Boolean functions are the subject of Boolean algebra and switching theory. A Boolean function takes the form f : { 0 ...