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On the Road: Sakai-Kishu Kaido

From Ryotaro Shiba's Kaido Yuku: Sakai, Kishu Kaido, Udon and Soba at an Old Restaurant and Free City World (Lu Sung Sukezaemon, Munehisa Imai, Furyu, Kinran), Nanshuzenji Temple, Sawan monk, and udon sukiyaki at Miurau

2022.07.10

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KI2013 Advances in Artificial Intelligence Papers

KI2013 In this article, we describe the proceedings of the 36th German Conference on Artificia...

2022.07.10

コンピューター人工知能:Artificial Intelligence

Intuitive Methods in Economic Mathematics: Probability and Statistics Reading Notes

Summary Economic mathematics is the study of mathematical methods of analysis in economics. It refers to the a...

2022.07.09

微分積分:Calculus最適化:Optimization確率・統計:Probability and Statistics線形代数:Linear Algebra

Reasoning Web2021 Papers

Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...

2022.07.09

Symbolic Logicweb技術:web technologyセマンテックウェブ技術:Semantic web 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推論技術:inference Technology機械学習:Machine Learning

Protected: Model selection and regularization path tracking (1) Cross-validation method

Cross-validation methods (k-partition cross-validation and one-out cross-validation) for selecting hyper-parameters such as regularization parameters for support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks

2022.07.08

アルゴリズム:Algorithms数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Causal Inference with VAR Model (1) Interpolation of missing data and DF and ADF tests

Overview of multivariate autoregressive models for finding causal relationships between two time series data in time series data analysis using state space models for digital transformation, artificial intelligence, and machine learning tasks, and completion of missing data using R and DF and ADF tests

2022.07.07

IOT技術:IOT TechnologyStream Data Processing微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Calculation of marginal probability distributions – Probability Propagation Method

Compute the probability distribution around graphical models in probabilistic generative models used in digital transformation, artificial intelligence , and machine learning tasks, such as Bayesian estimation, using probability propagation methods

2022.07.06

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

Various probability distributions

Overview of various probabilistic models used as approximate models for probabilistic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks (Student's t distribution, Wishart distribution, Gaussian distribution, gamma distribution, inverse gamma distribution, Dirichlet distribution, beta distribution, categorical distribution, Poisson distribution, Bernoulli distribution)

2022.07.05

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

Protected: Overview of Gaussian Processes(2)Gaussian Processes and Kernels

Gaussian processes and kernel functions (Mattern kernel, character kernel, Fisher kernel, HMM's marginalized kernel, linear kernel, exponential kernel, periodic kernel, RBF kernel), which are dimensionless stochastic generative models used for digital transformation, artificial intelligence and machine learning tasks

2022.07.04

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

Kaido yuku – Hokkaido’s Roads

Various roads in Hokkaido from Ryotaro Shiba's Kaido Yuku, Hakodate, Sapporo, Esashi, Rikubetsu, Matsumae Clan and Koshamain, Kahei Takadaya, Vasily Mikhailovich Golovnin, Horace Kepron and Kotaro Migishi.

2022.07.03

旅歴史紀行読書