May 2021 | Page 2 | Deus Ex Machina

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

Protected: Decision Tree Algorithm (4) Rule Classification using R

Rule extraction with R using decision tree algorithm, C5.0, and Ripper

2021.05.18

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

Protected: Decision Tree Algorithm (2) Clustering with R

Classification using R, a classical machine learning algorithm, the decision tree algorithm.

2021.05.17

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

Protected: Decision Tree Algorithm (3) Rule Classification Overview

Rule extraction using the decision tree algorithm, a classical machine learning algorithm.

2021.05.17

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

Protected: Decision Tree Algorithm (1) Overview

Overview of the decision tree algorithm, a classical machine learning algorithm.

2021.05.15

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

Protected: Introduction to Machine Learning with Bayesian Inference

An overview of machine learning with Bayesian inference, a probabilistic generative model.

2021.05.14

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

Protected: Submodular Optimization and Machine Learning – Overview

Overview of inferior modular optimization, which is machine learning for discrete variables used in sensor placement optimization.

2021.05.13

微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

2021-05