Deus Ex Machina

The Power of Pure Land Buddhism and Amitabha Buddha, which introduced the concept of parallel worlds

Pure Land Buddhism (Honen, Jodo-shu, Shinran, Jodo Shinshu), which introduced the concept of a parallel world (Buddhist land) to existing Mahayana Buddhism (Hannya Sutra, Lotus Sutra) and the power of Amida Buddha (Muryotsu Sutra, Kanmyoju Sutra, Amida Sutra)

2022.09.10

仏教:Buddhism哲学:philosophy

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

Protected: Implementation of a simple anomaly detection algorithm using Clojure

Implementation of simple anomaly detection algorithms (establishment density functions; PDF-based models) using Clojure for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks

2022.09.08

ClojureIOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithms微分積分:Calculus最適化:Optimization機械学習:Machine Learning異常検知・変化検知確率・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: Microservices Architecture

The ideal enterprise system would be tightly integrated and provide all business functions as a single unit optimized for a particular technology stack and hardware. Such monolithic systems often become more complex over time and difficult to understand as a single unit by a single team. Domain-driven design advocates decomposing such systems into smaller modular components and assigning them to teams that focus on a single business capability in a limited context.

2022.09.05

web技術:web technologyアーキテクチャコンピューターデータベース技術:DataBase Technology

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

Thinking Machines Machine Learning and its Hardware Implementation

Summary Many hardware implementations of machine learning are dedicated hardware. These means include the f...

2022.09.03

コンピューターハードウェア機械学習:Machine Learning

KI 2017: Advances in Artificial Intelligence Papers

KI2017 In the previous article we discussed KI2016. In this issue, we describe KI2017, which w...

2022.09.03

Uncategorized

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