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There is a page named "Hidden Bernoulli model" on Wikipedia

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  • Time-inhomogeneous hidden Bernoulli model (TI-HBM) is an alternative to hidden Markov model (HMM) for automatic speech recognition. Contrary to HMM, the...
    2 KB (240 words) - 03:03, 1 February 2024
  • free hidden Markov model program for protein sequence analysis Hidden Bernoulli model Hidden semi-Markov model Hierarchical hidden Markov model Layered...
    51 KB (6,744 words) - 13:37, 11 May 2024
  • equation Bernoulli numbers Poly-Bernoulli number Bernoulli's formula Bernoulli polynomials Bernoulli map Bernoulli operator Hidden Bernoulli model Time-inhomogeneous...
    2 KB (185 words) - 12:24, 25 April 2023
  • Thumbnail for Jacob Bernoulli
    Jacob Bernoulli (also known as James in English or Jacques in French; 6 January 1655 [O.S. 27 December 1654] – 16 August 1705) was one of the many prominent...
    19 KB (2,181 words) - 02:51, 20 June 2024
  • mathematics, the Bernoulli scheme or Bernoulli shift is a generalization of the Bernoulli process to more than two possible outcomes. Bernoulli schemes appear...
    11 KB (1,739 words) - 18:15, 12 March 2023
  • of Bernoulli Bernoulli distribution Bernoulli process Bernoulli scheme Bernoulli trial Bernoulli map Bernoulli operator Bernoulli sampling Bernoulli random...
    670 bytes (52 words) - 18:45, 21 March 2022
  • mixture model with K = 10 {\displaystyle K=10} different components, where each component is a vector of size N 2 {\displaystyle N^{2}} of Bernoulli distributions...
    57 KB (7,792 words) - 20:54, 22 May 2024
  • statistics, econometrics, and signal processing, an autoregressive (AR) model is a representation of a type of random process; as such, it can be used...
    35 KB (5,416 words) - 17:26, 7 July 2024
  • Thumbnail for Markov chain
    Markov chain (category Markov models)
    being independent of the past states). A Bernoulli scheme with only two possible states is known as a Bernoulli process. Note, however, by the Ornstein...
    93 KB (12,484 words) - 21:10, 29 June 2024
  • Thumbnail for Restricted Boltzmann machine
    Restricted Boltzmann machine (category Stochastic models)
    Restricted Boltzmann Machine can be multinomial, although the hidden units are Bernoulli.[clarification needed] In this case, the logistic function for...
    19 KB (2,328 words) - 07:06, 23 June 2024
  • In mathematical finance, the SABR model is a stochastic volatility model, which attempts to capture the volatility smile in derivatives markets. The name...
    18 KB (2,432 words) - 08:07, 31 May 2024
  • joint distribution of observing the sequence is a Bayesian mixture of the Bernoulli probabilities. It can be shown that this prior distribution is a beta...
    16 KB (2,979 words) - 21:00, 3 February 2024
  • types of mixture model) Hidden Markov model Probabilistic context-free grammar Bayesian network (e.g. Naive bayes, Autoregressive model) Averaged one-dependence...
    19 KB (2,434 words) - 12:52, 1 July 2024
  • hidden Markov models, stochastic context-free grammars, reduced rank regressions, Boltzmann machines. In machine learning, if a statistical model is...
    50 KB (7,564 words) - 04:10, 9 July 2024
  • function); when modeling categorical data, such as the choice of a given candidate in an election (which is better described using a Bernoulli distribution/binomial...
    69 KB (9,635 words) - 01:27, 18 July 2024
  • Thumbnail for Regression analysis
    In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called...
    36 KB (5,081 words) - 16:47, 16 February 2024
  • distribution to model the distribution of the parameter p of a Bernoulli distribution, then: p is a parameter of the underlying system (Bernoulli distribution)...
    43 KB (6,690 words) - 10:31, 24 April 2024
  • graphical model is known as a directed graphical model, Bayesian network, or belief network. Classic machine learning models like hidden Markov models, neural...
    11 KB (1,250 words) - 02:10, 1 February 2024
  • sampled from this pdf as follows: suppose a binary neuron fires with the Bernoulli probability p(1) = 1/3 and rests with p(0) = 2/3. One samples from it...
    28 KB (2,467 words) - 14:51, 10 June 2024
  • network Causality Causal loop diagram Hidden Markov model Latent variable model Path coefficient Structural equation model (SEM) Pearl, Judea (May 2018). The...
    7 KB (971 words) - 14:42, 28 June 2024
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