prediction algorithm

prediction algorithm
алгоритм прогнозирования, алгоритм предсказания

Англо-русский словарь технических терминов. 2005.

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  • prediction algorithm — prognozavimo algoritmas statusas T sritis automatika atitikmenys: angl. prediction algorithm vok. Prognosealgorithmus, m; Voraussagealgorithmus, m rus. алгоритм прогнозирования, m pranc. algorithme prédictif, m …   Automatikos terminų žodynas

  • Odds algorithm — The odds algorithm is a mathematical method for computing optimal strategies for a class of problems that belong to the domain of optimal stopping problems. Their solution follows from the odds strategy, and the importance of the odds strategy… …   Wikipedia

  • Nucleic acid structure prediction — This article is about the computational prediction of nucleic acid structure. For experimental methods, see Nucleic acid structure determination. Nucleic acid structure prediction is a computational method to determine nucleic acid secondary and… …   Wikipedia

  • Code-excited linear prediction — (CELP) is a speech coding algorithm originally proposed by M.R. Schroeder and B.S. Atal in 1985. At the time, it provided significantly better quality than existing low bit rate algorithms, such as residual excited linear prediction and linear… …   Wikipedia

  • 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

  • Code excited linear prediction — (CELP) is a speech coding algorithm originally proposed by M.R. Schroeder and B.S. Atal in 1985. At the time, it provided significantly better quality than existing low bit rate algorithms, such as RELP and LPC vocoders (e.g. FS 1015). Along with …   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

  • Linear prediction — is a mathematical operation where future values of a discrete time signal are estimated as a linear function of previous samples.In digital signal processing, linear prediction is often called linear predictive coding (LPC) and can thus be viewed …   Wikipedia

  • k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… …   Wikipedia

  • Weighted Majority Algorithm — In machine learning, Weighted Majority Algorithm (WMA) is a meta learning algorithm used to construct a compound algorithm from a pool of prediction algorithms, which could be any type of learning algorithms, classifiers, or even real human… …   Wikipedia

  • Stock market prediction — is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange. The successful prediction of a stock s future price could yield significant profit. Some believe that stock price… …   Wikipedia


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