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1. Morse inequalities: Inequalities following from Morse theory and relating the number of critical points (cf. Critical point) of a Morse function on a manifold to its homology invariants. (Mathematics) [100%] 2023-10-13
2. Bell inequalities: This page is deficient and requires revision. Please see Talk:Bell inequalities for further comments. (Mathematics) [100%] 2023-12-31
3. Bonferroni inequalities: A solution of the classical matching problem and the counting inclusion-and-exclusion method (cf. also Inclusion-and-exclusion principle) can be given in a unified manner by the following set of inequalities. (Mathematics) [100%] 2023-12-31
4. Correlation inequalities: Correlation between variables in multivariate statistics (cf. also Multi-dimensional statistical analysis) has motivated classes of inequalities on subsets of a base set $ S $ that are referred to as correlation inequalities. (Mathematics) [100%] 2023-12-09
5. Variational inequalities: The variational formulations (also called weak formulations) of many non-linear boundary value problems result in variational inequalities rather than variational equations. Analogously to partial differential equations, variational inequalities can be of elliptic, parabolic, hyperbolic, etc. (Mathematics) [100%] 2023-12-31
6. Bernstein inequalities (probability theory): In probability theory, Bernstein inequalities give bounds on the probability that the sum of random variables deviates from its mean. In the simplest case, let X1, ..., Xn be independent Bernoulli random variables taking values +1 and −1 with probability 1 ... (Probability theory) [100%] 2023-12-31 [Probabilistic inequalities]
7. Quantum inequalities: Quantum inequalities are local constraints on the magnitude and extent of distributions of negative energy density in space-time. Initially conceived to clear up a long-standing problem in quantum field theory (namely, the potential for unconstrained negative energy density ... (Constraints on energy distribution in spacetime in quantum mechanics) [100%] 2023-12-31 [Quantum field theory]
8. Probabilistic design: Probabilistic design is a discipline within engineering design. It deals primarily with the consideration of the effects of random variability upon the performance of an engineering system during the design phase. (Discipline within engineering design) [93%] 2024-01-05 [Engineering statistics]
9. Probabilistic bisimulation: In theoretical computer science, probabilistic bisimulation is an extension of the concept of bisimulation for fully probabilistic transition systems first described by K.G. Larsen and A. [93%] 2022-10-16 [Theoretical computer science]
10. Probabilistic causation: Probabilistic causation is a concept in a group of philosophical theories that aim to characterize the relationship between cause and effect using the tools of probability theory. The central idea behind these theories is that causes raise the probabilities of ... [93%] 2023-12-18 [Causality] [Causal inference]...
11. Probabilistic encryption: Probabilistic encryption is the use of randomness in an encryption algorithm, so that when encrypting the same message several times it will, in general, yield different ciphertexts. The term "probabilistic encryption" is typically used in reference to public key encryption ... (Use of randomness in key code generation) [93%] 2023-10-29 [Theory of cryptography]
12. Probabilistic automaton: In mathematics and computer science, the probabilistic automaton (PA) is a generalization of the nondeterministic finite automaton; it includes the probability of a given transition into the transition function, turning it into a transition matrix. [93%] 2022-07-16 [Finite automata] [Probabilistic models]...
13. Probabilistic Causation: “Probabilistic Causation” designates a group of theories that aim to characterize the relationship between cause and effect using the tools of probability theory. The central idea behind these theories is that causes change the probabilities of their effects. (Philosophy) [93%] 2021-12-26
14. Probabilistic semantics: One of the most severe limitations of the Semantic Web is its inability to deal with uncertain knowledge. Probabilistic semantics extend the current semantic technology to overcome that limitation. [93%] 2022-11-11 [Semantic Web]
15. Probabilistic roadmap: The probabilistic roadmap planner is a motion planning algorithm in robotics, which solves the problem of determining a path between a starting configuration of the robot and a goal configuration while avoiding collisions. The basic idea behind PRM is to ... (Probabilistic motion planning algorithm) [93%] 2024-02-16 [Robot control] [Automated planning and scheduling]...
16. Automaton, probabilistic: stochastic automaton A generalization of a finite automaton (cf. Automaton, finite) in which the transition and the output functions are random functions. (Mathematics) [93%] 2023-09-12
17. Probabilistic automaton: In mathematics and computer science, the probabilistic automaton (PA) is a generalization of the nondeterministic finite automaton; it includes the probability of a given transition into the transition function, turning it into a transition matrix. Thus, the probabilistic automaton also ... [93%] 2023-10-05 [Finite automata] [Probabilistic models]...
18. Probabilistic databases: Probabilistic Databases are the outcome of joining probability theory with database management systems. They are based on the fact that in real world most of the information is probabilistic, there is an element of uncertainty associated with that. [93%] 2024-01-11
19. Probabilistic classification: In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over a set of classes, rather than only outputting the most likely class that the observation should ... [93%] 2023-02-17 [Probabilistic models] [Statistical classification]...
20. Probabilistic programming: Probabilistic programming (PP) is a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically. It represents an attempt to unify probabilistic modeling and traditional general purpose programming in order to make the former ... [93%] 2024-06-12 [Probabilistic models] [Probabilistic software]...