Application

Clojure

Java, Scala and Koltlin, general-purpose application building environments

Java, Scala and Koltlin, general-purpose application building environments used for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks
2022.10.16
ClojureJavaKoltlin
Clojure

Implementation in Clojure of streaming data processing for IOT, Stock Data Analysis

Implementation of core.async asynchronous applications using Clojure such as IOT and stock data analysis for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks
2022.10.05
ClojureIOT技術:IOT TechnologyStream Data Processing
アルゴリズム:Algorithms

Protected: Application of Variational Bayesian Algorithm to Latent Dirichlet Models

Application of the variational Bayesian algorithm, a computational method for stochastic generative models utilized in digital transformation, artificial intelligence , and machine learning tasks, to latent Dirichlet models
2022.09.29
アルゴリズム:Algorithmsベイズ推定微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
アルゴリズム:Algorithms

Protected: Application of Variational Bayesian Algorithm to Mixed Gaussian Distribution Models

Application of variational Bayesian algorithms to mixed Gaussian distribution models for the computation of stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks (Dirichlet distribution, isotropic Gaussian distribution, free energy calculation)
2022.09.15
アルゴリズム:Algorithmsベイズ推定微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
アルゴリズム:Algorithms

Protected: Application of Variational Bayesian Algorithm to Matrix Decomposition Models with Missing Values

Application of variational Bayesian algorithm to matrix factorization models with missing values as a stochastic generative model computation for use in digital transformation, artificial intelligence, and machine learning tasks
2022.08.31
アルゴリズム:Algorithmsグラフ理論ベイズ推定微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
Symbolic Logic

Application of knowledge graphs to question answering systems

Application of knowledge graphs to question answering systems for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
2022.08.04
Symbolic Logicアルゴリズム:Algorithmsエキスパートシステム:expertsystemチャットボットマルチエージェントシステムユーザーインターフェース/データビジュアライゼーション機械学習:Machine Learning
アルゴリズム:Algorithms

Protected: Computing Peripheral Probability Distributions – Mean Field Approximation

Application of graphical models to stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks; approximate computation and algorithms for peripheral probability distributions from variational problems using mean field approximation
2022.07.28
アルゴリズム:Algorithmsグラフ理論ベイズ推定微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
アルゴリズム:Algorithms

Protected: Dream of a realistic SimCity

Integration of simulation and machine learning technologies used for digital transformation, artificial intelligence, and machine learning tasks; application of SimCity to the real world using emulation and machine learning
2022.06.15
アルゴリズム:Algorithmsグラフ理論コンピューターシミュレーション微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra
Symbolic Logic

Protected: Maximum flow and graph cut (1) Maximum volume and minimum s-t cut

Application of undermodular optimization, an optimization method for discrete information used in digital transformation, artificial intelligence, and machine learning tasks, to minimum cut and maximum flow problems for directed graphs
2022.04.28
Symbolic Logicグラフ理論スパースモデリング幾何学:Geometry推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
IOT技術:IOT Technology

Protected: Maximization of submodular functions and application of the greedy method (1) Overview of the greedy method and its application to document summarization

Optimization methods for discrete information used in digital transformation, artificial intelligence, and machine learning tasks: application of greedy methods to undermodular function maximization and its use in document summarization tasks
2022.04.22
IOT技術:IOT Technologyアルゴリズム:Algorithms幾何学:Geometry推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習
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