推論技術:inference Technology

Clojure

Chatbots and Question&Answer Technology

Overview of chubbot technology used in digital transformation , artificial intelligence, etc., from a business perspective, as well as question-and-answer systems that combine natural language processing, deep learning, and knowledge network technologies
推論技術:inference Technology

Protected: Modeling of time series and spatial data (1)(Dynamic linear model)

Bayesian modeling of temporal and spatial models with a focus on dynamic linear models and evaluation using MCMC
Symbolic Logic

ISWC2009 Papers

ISWC2009 Papers From ISWC2009, an international conference on Semantic Web technology, one of the artificial i...
オンライン学習

Protected: Model-free reinforcement learning(1) – Value iteration methods (Monte Carlo, TD, TD(λ))

Application of value iterative methods (Monte Carlo, TD, TD(λ)) to model-free reinforcement learning used in digital transformation , artificial intelligence , and machine learning.
推論技術:inference Technology

Statistical Causal Inference and Causal Search

Statistical Causal Inference and Causal Search When using machine learning, it is important to consider the diffe...
微分積分:Calculus

Protected: Topic models – maximum likelihood estimation, variational Bayesian estimation, estimation by Gibbs sampling

Maximum likelihood, variational Bayesian, and Gibbs sampling estimation of topic models for digital transformation , artificial intelligence , and natural language processing tasks.
グラフ理論

Protected: Tensor decomposition – CP decomposition and Tucker decomposition

Processing of higher-order relational data and tensors using CP decomposition and Tucker decomposition for digital transformation and artificial intelligence tasks.
微分積分:Calculus

Protected: Estimating the number of topics in a topic model – Dirichlet process, Chinese restaurant process, stick-folding process

A topic model using Dirichlet process, Chinese restaurant process, and stick-folding process for digital transformation and artificial intelligence tasks.
微分積分:Calculus

Protected: Application of Topic Models to Information Other Than Documents – Application to Image Data and Graph Data (Stochastic Block Model, Mixed Member Probabilistic Block Model)

Topic models for image and graph data using stochastic block models for digital transformation and artificial intelligence tasks.
推論技術:inference Technology

MCMC and Bayesian estimation

デジタルトランスフォーメーション(DX)、人工知能(AI)タスクに活用される確率関数の積分等に用いられるマルコフ連鎖モンテカルロ
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