machine learning

stochastic optimization

Stochastic optimization methods for solving large-scale learning problems on large amounts of data used in digital transformation, artificial intelligence, and machine learning tasks supervised learning and regularization, basics of convex analysis, what is stochastic optimization, online stochastic optimization, batch stochastic optimization, stochastic optimization in distributed environments

2022.08.14

アルゴリズム:Algorithmsオンライン学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Extraction of tabular data from the Web and documents and semantic annotation (SemTab) learning

Extraction of tabular data from the Web and documents and semantic annotation learning, one of the data extraction tasks utilized in digital transformation, artificial intelligence, and machine learning tasks, with a focus on the ISWC workshop SemTab

2022.08.13

web技術:web technologyデータベース技術:DataBase Technology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地理空間情報処理時系列データ解析

Statistical Learning Theory

Theory on statistical properties of machine learning algorithms utilized in digital transformation, artificial intelligence, and machine learning tasks (law of large uniform numbers, universal kernel, discriminant fitting loss)

2022.08.13

アルゴリズム:Algorithms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集合論:Set theory

About WoT (Web of Things) technology

Overview and challenges of the Web of Things WoT, an extension of IoT technology used for digital transformation, artificial intelligence, and machine learning tasks

2022.08.12

IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyセマンテックウェブ技術:Semantic web Technology

Protected: Gaussian Processes – The Advantages of Functional Clouds and Their Relationship to Regression Models, Kernel Methods, and Physical Models

Gaussian Processes as Applications of Stochastic Generative Models for Digital Transformation (DX), Artificial Intelligence (AI), and Machine Learning (ML) Tasks Miscellaneous Function Clouds Advantages and Regression Models and their Relationship to Kernel Methods and Physical Models

2022.08.11

アルゴリズム:Algorithmsグラフ理論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

Theory and Algorithms for the Bandit Problem

The theory and algorithms of the Bandit Problem for selecting optimal strategies to be utilized in digital transformation, artificial intelligence, and machine learning tasks

2022.08.11

バンディッド問題強化学習

Microservices and Efficient Application Development and Multi-Agent Systems

Microservices and efficient development and implementation in multi-agent systems and Clojure for digital transformation, artificial intelligence and machine learning tasks

2022.08.10

IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyアーキテクチャコンピューターセキュリティデータベース技術:DataBase Technology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

Protected: Dynamic Programming Algorithms and Data Structures

Algorithms and data structures of dynamic programming (memoization, Fibonacci sequence, knapsack problem), a fundamental technique of machine learning used in digital transformation, artificial intelligence and machine learning tasks.

2022.08.09

アルゴリズム:Algorithmsプログラミング言語:Programming Language

Protected: Structured Support Vector Machines

SVM structure learning and parsing using the deletion plane method algorithm on support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks, and protein similarity sequence search

2022.08.08

Rアルゴリズム:Algorithms幾何学:Geometry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: About Bayesian Statistics and Machine Learning

The impact of machine learning on scientific methodology and engineering, and the suitability of probabilistic statistical approaches, particularly Bayesian models, for machine learning design

2022.08.06

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