Deus Ex Machina

Semantic Web Technologies

The first conference on semantic web technology (ISWC), the next generation of web technology, was held in 2002. The first conference on semantic web technology (ISWC), the next generation of web technology, was held in 2002, and included many concepts of technology for handling knowledge as data, and there is still a lot of useful information.

2021.05.27

セマンテックウェブ技術:Semantic web Technology

Protected: Variational Bayesian Learning Introduction

Fundamentals of Variational Methods for Optimizing Bayesian Estimation in Machine Learning

2021.05.27

アルゴリズム:Algorithms機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Online Machine Learning Overview

Basics of online learning for sequential learning from a small number of supervised data

2021.05.26

アルゴリズム:Algorithms最適化:Optimization機械学習:Machine Learning

Protected: Bayesian Deep Learning – Introduction

Overview of Bayesian deep models, an evolution of deep learning and probabilistic generative models.

2021.05.25

アルゴリズム:Algorithms機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics

Protected: Graphical Model Overview and Bayesian Network

Graphical model overview for efficient approach to stochastic generative models, Bayesian networks

2021.05.24

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

Protected: Graphical Models Overview and Markov Probability Fields

Graphical model overview for efficient approach to stochastic generative models, Markov stochastic processes

2021.05.23

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: An overview of the expert integration problem in online forecasting and its implementation in Regret

Overview of online predictive learning for solving sequential prediction problems, introduction to Regret

2021.05.22

推論技術:inference Technology最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics

Protected: Continuous Optimization in Machine Learning – Overview

Explanation of the mathematical theory underlying optimization algorithms for machine learning.

2021.05.21

最適化:Optimization機械学習:Machine Learning

Protected: Reinforcement Learning Overview

An overview of reinforcement learning for learning sequential decision rules

2021.05.20

アルゴリズム:Algorithms最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

Protected: Nonparametric Bayesian Point Processes and the Mathematics of Statistical Machine Learning Overview

An overview of the nonparametric Bayesian method, a probability generation model in infinite dimensions

2021.05.19

最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics