machine learning

Protected: Nonparametric Bayesian Applications to Factor Analysis and Sparse Modeling

Nonparametric Bayesian models, one of the applications of probabilistic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks, for factor analysis and sparse modeling (infinite latent feature model, beta-Bernoulli distribution model, Indian cuisine buffet process, binary matrix generation process)

2022.09.13

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集合論:Set theory

Protected: Stochastic Generative Models and Gaussian Processes(3) Representation of Probability Distributions

Stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks and representation of probability distributions in samples as a basis for Gaussian processes ,weighted sampling, kernel density estimation, distribution estimation using neural nets

2022.09.12

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

Implementation of a Bayesian optimization tool using Clojure

Introduction of Clojure implementation of Bayesian optimization tool, a (hyperparameter) optimization tool used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks, and opimx, an optimization comparison tool in R.

2022.09.09

Clojureアルゴリズム:Algorithmsガウス過程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

Chatbot implementation using Clojure and Javascript and integration of AI functionality

Building a chatbot framework in Clojure and Javascript for use in digital transformation , artificial intelligence , and machine learning tasks and integrating various AI functions natural language processing, SVM, BERT, Transformer, Knowledge Graph, database, expert systems

2022.09.07

Clojurejavascript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自然言語処理:Natural Language Processing

Statistical learning by linking Clojure and R

Use of R with Clojure, a statistical machine learning library used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks (Clojisr, Rojure, Rincanter, Huri, clj-iri, graalvm-interop, gg4clj, FastR, Rserve, Java)

2022.09.06

ClojureR機械学習:Machine Learning

Protected: Meta-analysis in Medical Research Methods of Evidence Integration in Scientific Evidence-Based Medicine

Evidence integration in meta-analysis in science-based medicine as statistical data processing in digital transformation, artificial intelligence, and machine learning tasks method of moments, maximum likelihood, large sample theory, DerSimonian an Laird estimation, publication bias, network meta-analysis

2022.09.04

アルゴリズム:Algorithmsシミュレーションスパースモデリングベイズ推定最適化:Optimization検索技術:Search Technology深層学習:Deep Learning確率・統計:Probability and Statistics関係データ学習

Protected: Support Vector Machines for Weak Label Learning (2) Multi-Instance Learning

Extension of support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks; multi-instance learning approach with SVMs for weak-label learning problems (mi-SVM, MI-SVM)

2022.09.02

アルゴリズム:Algorithmsグラフ理論微分積分:Calculus最適化:Optimization機械学習:Machine Learning画像認識技術異常検知・変化検知確率・統計:Probability and Statistics線形代数:Linear Algebra自然言語処理:Natural Language Processing音声信号認識技術

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

Protected: Application of Nonparametric Bayesian Structural Change Estimation

Nonparametric Bayesian structural change estimation using Gibbs sampling as an application of probabilistic generative models for digital transformation, artificial intelligence, and machine learning tasks

2022.08.30

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

Protected: Stochastic Generative Models and Gaussian Processes(2)Maximum Likelihood and Bayesian Estimation

Maximum Likelihood and Bayesian Estimation Overview for Probabilistic Generative Models and Gaussian Process Fundamentals Used in Digital Transformation, Artificial Intelligence, and Machine Learning Tasks

2022.08.29

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