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1. Modelo probabilístico: Un modelo probabilístico o estadístico es la forma que pueden tomar un conjunto de datos obtenidos de muestreos de otros datos con comportamiento que se supone aleatorio. Un modelo estadístico es un tipo de modelo matemático que usa la probabilidad ... [100%] 2024-02-08
2. Probabilistic likelihood model: In simple terms a probabilistic likelihood model is a mathematical model which gives the probability of some observation (data) for some stated mathematical model capable of predicting said data as an outcome (observation). It is typically denoted as p(D ... [89%] 2023-03-03 [Probability and Statistics]
3. Probabilistic voting model: The probabilistic voting theory, also known as the probabilistic voting model, is a voting theory developed by professors Assar Lindbeck and Jörgen Weibull in the article "Balanced-budget redistribution as the outcome of political competition", published in 1987 in the ... [89%] 2023-11-21 [Probabilistic models] [Voting theory]...
4. Probabilistic voting model: The probabilistic voting theory, also known as the probabilistic voting model, is a voting theory developed by professors Assar Lindbeck and Jörgen Weibull in the article "Balanced-budget redistribution as the outcome of political competition", published in 1987 in the ... [89%] 2025-01-28 [Probabilistic models]
5. 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) [70%] 2024-01-05 [Engineering statistics]
6. 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. [70%] 2022-10-16 [Theoretical computer science]
7. 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 ... [70%] 2023-12-18 [Causality] [Causal inference]...
8. 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) [70%] 2023-10-29 [Theory of cryptography]
9. 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. [70%] 2022-07-16 [Finite automata] [Probabilistic models]...
10. 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) [70%] 2021-12-26
11. 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. [70%] 2022-11-11 [Semantic Web]
12. 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) [70%] 2024-02-16 [Robot control] [Automated planning and scheduling]...
13. 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) [70%] 2023-09-12
14. 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 ... [70%] 2023-10-05 [Finite automata] [Probabilistic models]...
15. 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. [70%] 2024-01-11
16. 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 ... [70%] 2023-02-17 [Probabilistic models] [Statistical classification]...
17. 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 ... [70%] 2024-06-12 [Probabilistic models] [Probabilistic software]...
18. Probabilistic genotyping: Probabilistic genotyping is the use of statistical methods and mathematical algorithms in DNA Profiling. It may be used instead of manual methods in difficult situations, such as when a DNA sample is very small or includes a mixture of multiple ... (Biology) [70%] 2024-06-25 [DNA profiling techniques] [Statistical analysis]...
19. Probabilistic epigenesis: Probabilistic epigenesis is a way of understanding human behavior based on the relationship between experience and biology. It is a variant form of epigenetics, proposed by American psychologist Gilbert Gottlieb in 1991. (Biology) [70%] 2024-07-18 [Epigenetics] [Neuropsychology]...
20. Models (band): Models (also sometimes known as The Models) are an Australian rock band formed in Melbourne, Victoria in August 1978. They went into hiatus in 1988, but re-formed in 2000, 2006 and 2008 to perform reunion concerts. (Band) [68%] 2024-01-07 [Models (band)] [ARIA Award winners]...