- Bayesian prediction
- байесовский прогноз
Англо-русский словарь по исследованиям и ноу-хау. Е.Г. Коваленк. 2015.
Bayesian prediction
Смотреть что такое "Bayesian prediction" в других словарях:
Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example … Wikipedia
Prédiction statistique des résultats de football — La prédiction statistique des résultats de football est une méthode utilisée pour les paris sportifs afin de prédire l issue des matchs de football à l aide d outils statistiques. L objectif de la prédiction statistique match est de battre les… … Wikipédia en Français
Memory-prediction framework — The memory prediction framework is a theory of brain function that was created by Jeff Hawkins and described in his 2004 book On Intelligence. This theory concerns the role of the mammalian neocortex and its associations with the hippocampus and… … Wikipedia
Protein-protein interaction prediction — is a field combining bioinformatics and structural biology in an attempt to identify and catalog interactions between pairs or groups of proteins. Understanding protein protein interactions is important in investigating intracellular signaling… … Wikipedia
Variational Bayesian methods — Variational Bayesian methods, also called ensemble learning, are a family of techniques for approximating intractable integrals arising in Bayesian statistics and machine learning. They can be used to lower bound the marginal likelihood (i.e.… … Wikipedia
Recursive Bayesian estimation — is a general probabilistic approach for estimating an unknown probability density function recursively over time using incoming measurements and a mathematical process model. Model The true state x is assumed to be an unobserved Markov process,… … Wikipedia
Variable-order Bayesian network — (VOBN) models provide an important extension of both the Bayesian network models and the variable order Markov models. VOBN models are used in machine learning in general and have shown great potential in bioinformatics applications.cite… … Wikipedia
Secondary structure prediction — is a set of techniques in bioinformatics that aim to predict the local secondary structures of proteins and RNA sequences based only on knowledge of their primary structure amino acid or nucleotide sequence, respectively. For proteins, a… … Wikipedia
Technique for Human Error Rate Prediction — (THERP) is a technique used in the field of Human reliability Assessment (HRA), for the purposes of evaluating the probability of a human error occurring throughout the completion of a specific task. From such analyses measures can then be taken… … Wikipedia
Doomsday argument — World population from 10,000 BC to AD 2000 The Doomsday argument (DA) is a probabilistic argument that claims to predict the number of future members of the human species given only an estimate of the total number of humans born so far. Simply… … Wikipedia
Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… … Wikipedia
