アルゴリズム:Algorithms Protected: Logistic regression as an applied model of Bayesian inference
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アルゴリズム:Algorithms アルゴリズム:Algorithms Protected: Tensor Decomposition and Recommendation as Applied Models of Bayesian Inference
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アルゴリズム:Algorithms Protected: Inference by Gibbs sampling in a topic model as an applied model of Bayesian inference.
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アルゴリズム:Algorithms Protected: Overview of the topic model as an applied model of Bayesian inference and application of variational inference
Overview of topic models as applied Bayesian inference models for digital transformation, artificial intelligence, and machine learning tasks and application of variational inference variational inference algorithms, Dirichlet distribution, categorical distribution, LDA, topic models in multimedia
アルゴリズム:Algorithms Protected: Hidden Markov model building and structured variational inference in Bayesian inference
Hidden Markov model building and structured variational inference (mini-batch, structured variational inference, fully decomposed variational inference, additional learning, underflow, message passing, exact inference algorithms, forward-backward algorithms, approximate distribution of parameters) in Bayesian inference for digital transformation, artificial intelligence, machine learning tasks.
アルゴリズム:Algorithms Protected: Hidden Markov model building and fully decomposed variational inference in Bayesian inference
Hidden Markov model building and fully decomposed variational inference (approximate posterior distribution, categorical distribution, Dirichlet distribution, expectation calculation, transition probability matrix, Poisson mixture model, variational inference) in Bayesian inference for digital transformation, artificial intelligence, machine learning tasks.
アルゴリズム:Algorithms Protected: Applied Bayesian inference in non-negative matrix factorization: model construction and inference
Non-negative matrix factorization as a construction and inference of applied Bayesian inference models used in digital transformation, artificial intelligence, and machine learning tasks Poisson distribution, latent variable, gamma distribution, approximate posterior distribution, variational inference, spectogram of organ performance data, missing value interpolation, restoration of high frequency components, super-resolution, graphical models, hyperparameters, modeling, auxiliary variables, linear dimensionality reduction, recommendation algorithms, speech data, Fast Fourier Transform, natural language processing
アルゴリズム:Algorithms Protected: Optimal arm bandit and Bayes optimal when the player’s candidate actions are large or continuous(1)
Optimal arm bandit and Bayes optimal linear curl, linear bandit, covariance function, Mattern kernel, Gaussian kernel, positive definite kernel function, block matrix, inverse matrix formulation, prior simultaneous probability density, Gaussian process, Lipschitz continuous, Euclidean norm, simple riglet, black box optimization, optimal arm identification, regret, cross checking, leave-one-out cross checking, continuous arm bandit
アルゴリズム:Algorithms Protected: Image feature extraction and missing value inference in linear dimensionality reduction models in Bayesian inference
Image feature extraction and missing value inference (missing image information recovery, defect value interpolation, variational inference, unfilled questionnaires, unfilled profile information, multiple sensor integration, linear dimensionality compression algorithm, image lossy compression) in linear dimensionality reduction model in Bayesian inference used for digital transformation, artificial intelligence, machine learning tasks.
アルゴリズム:Algorithms Protected: Bayesian inference by variational and collapsed Gibbs sampling of Gaussian mixture models
Bayesian inference with variational and collapsed Gibbs sampling of Gaussian mixture models utilized in digital transformation, artificial intelligence, and machine learning tasks inference algorithms, analytic integral approximation, complex models, Gauss-Wishart distribution, clustering, multi-dimensional Student's t-distribution, categorical distribution, Poisson mixture models, Dirichlet distribution, approximate posterior distribution, latent variables