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: 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: 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

Protected: Causal Exploration of Statistics – Introduction

Overview of methods for statistical learning of causal information, and methods for determining various causal relationships.

2021.05.12

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

Protected: Gaussian Processes and Machine Learning – Introduction

Overview of Gaussian Generative Models for Machine Learning without Parameterization of Probabilistic Generative Models

2021.05.06

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

Protected: Mixed Unigram Model

Basics of topic models for classification of document data, compound unigram models and LDA for teaching beginners

2021.05.03

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

Protected: Unigram Model

Basics of topic model for classification of document data for education of beginners, unigram model

2021.04.30

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

Protected: Bayesian Estimation and Information Theory

Bayesian estimation and information theory for artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), from de Moivre's probability theory to Bayesian probability and Shannon's information engineering and tools for Bayesian estimation (STAN)

2021.03.17

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

Integration of probability and logic (1) Bayesian Net, KBMC, PRM and SRL

Integration of probability and logic, automatic generation of Bayesian nets using knowledge base (KBMC), prolog, backward reasoning

2021.03.17

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