アルゴリズム:Algorithms

Protected: Overview of Gaussian Processes(5)Generalization of Gaussian Process Regression

Extensions of probabilistic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks and generalizations of the Cauchy distribution of Gaussian processes as robustness collateral, Gaussian process identification models, and Poisson distributions for machine failure, elementary particle decay, etc.

On the Road – Tamba-Sasayama Highway

Ryotaro Shiba's Kaido Yuku, more about the Tamba-Sasayama Highway (Nagaokakyo and Oharano Shrine, Ronozaka and Tamba Kameyama Castle built by Mitsuhide Akechi and Oomoto Kyo, Tamba Fog, Tachikake and Tamba Ware, Muneyoshi Yanagi, Arima Hot Springs)
マルチエージェントシステム

An Introduction to Multiagent Systems

Artificial Knowledge Technology  Mechanical Learning Technology  Artificial Life Inference Technology  Knowledge Enginee...
人工知能:Artificial Intelligence

Invitation to Cognitive Science. A Reading Memo

Invitation to Cognitive Science. A Reading Memo Cognitive science will be the discipline that studies cogni...
コンピューター

KI 2015: Advances in Artificial Intelligence Papers

KI 2015: Advances in Artificial Intelligence In the previous article, I described KI 2014. In this i...
Stream Data Processing

Protected: Sequential learning using SVM

Overview of algorithms for sequential learning by adding/removing training examples using SVMs in support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks.
アルゴリズム:Algorithms

Protected: Calculation of marginal probability distribution – Kikuchi approximation

Application of graphical models to stochastic generative models for digital transformation, artificial intelligence, and machine learning tasks; calculation of marginal probability distributions in the generalized stochastic propagation method with Kikuchi free energy functions and comparison with Bethe free energy functions and Hasse diagrams
アルゴリズム:Algorithms

Protected: Overview of Bayesian Estimation with Concrete Examples

Calculate the fundamentals of Bayesian estimation (exchangeability, de Finetti's theorem, conjugate prior distribution, posterior distribution, marginal likelihood, etc.) used in probabilistic generative models for digital transformation, artificial intelligence, and machine learning tasks, based on concrete examples (Dirichlet-multinomial distribution model, gamma-gaussian distribution model).
アルゴリズム:Algorithms

Protected: Overview of Gaussian Processes(4)Hyperparameter Estimation and Generalization of Gaussian Process Regression

Hyperparameter estimation using the gradient descent method of Gaussian process regression for stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks (SCG method, L-BFGS method, global solution using MCMC)
ICT技術:ICT Technology

Overview and installation of CentOS8

Overview and installation of CentOS, an open source operating system that is functionally compatible with RedHat, a commercial Linux ICT infrastructure used for digital transformation , artificial intelligence, and machine learning tasks
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