2023-05

Clojure

Overview of Petri-net technology and its combination with artificial intelligence technology and various implementations

Petri Net Overview Petri nets are a descriptive model of discrete event systems proposed by Petri in 1962...
2023.05.09
ClojureStream Data Processingアーキテクチャコンピューターマルチエージェントシステム分散並列処理時系列データ解析非同期/並行処理:Asynchronous/parallel processing
ICT技術:ICT Technology

Overview of Git and easy usage and reference books

  Summary Git is a source code version control system that allows multiple people to work ...
2023.05.08
ICT技術:ICT Technology
旅

On the Road: Honjo and Fukagawa neighborhoods

Ryotaro Shiba's Road to Honjo and Fukagawa Sumida River Bridge, Tsukiji Bridge, Kachidokibashi Bridge, Tsukuda Bridge, Chuo Bridge, Eitai Bridge, Sumida River Bridge, New Bridge, Kiyosubashi Bridge, Ryogoku Bridge, Kuramae Bridge, Stable Bridge, Komagata Bridge, Azuma Bridge, Kototoi Bridge, Sakura Bridge, Monkey Punch, Lupin III, Kitamura So, Kaijin Nijumenso Den, Gisatsu, Rat Boy Jirokichi, Kanjin Sumo, and Tomioka Hachimangu Shrine, Fukagawa Festival, Tsunayoshi Tokugawa, Iemitsu Tokugawa, Pilgrimage to Mt. Daisen, Ohiko Bando, Bunshichi Genkai, Classic Rakugo, Yumi, Inase, Iki, Okyan, Natsume Soseki, Botchan, Tatsumi geisha
2023.05.07
旅歴史紀行読書
哲学:philosophy

Protected: Special Lecture, “The Purpose of Philosophy,” from “Socrates in Defense.”

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2023.05.06
哲学:philosophy
アルゴリズム:Algorithms

Protected: Optimal arm bandit and Bayesian optimal when the player’s candidate actions are huge or continuous (2)

Bayesian optimization for digital transformation, artificial intelligence, machine learning tasks and bandit when player behavior is massive/continuous Markov chain Monte Carlo, Monte Carlo integration, turn kernels, scale parameters, Gaussian kernels, covariance function parameter estimation, Simultaneous Optimistic Optimazation policy, SOO strategy, algorithms, GP-UCB policy, Thompson's law, expected value improvement strategy, GP-UCB policy
2023.05.05
アルゴリズム:Algorithmsグラフ理論スパースモデリングバンディッド問題マルチエージェントシステム幾何学:Geometry強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
アルゴリズム:Algorithms

Protected: Sparse Machine Learning with Overlapping Sparse Regularization

Sparse machine learning with overlapping sparse regularization for digital transformation, artificial intelligence, and machine learning tasks main problem, dual problem, relative dual gap, dual norm, Moreau's theorem, extended Lagrangian, alternating multiplier method, stopping conditions, groups with overlapping L1 norm, extended Lagrangian, prox operator, Lagrangian multiplier vector, linear constraints, alternating direction multiplier method, constrained minimization problem, multiple linear ranks of tensors, convex relaxation, overlapping trace norm, substitution matrix, regularization method, auxiliary variables, elastic net regularization, penalty terms, Tucker decomposition Higher-order singular value decomposition, factor matrix decomposition, singular value decomposition, wavelet transform, total variation, noise division, compressed sensing, anisotropic total variation, tensor decomposition, elastic net
2023.05.04
アルゴリズム:Algorithmsグラフ理論スパースモデリングスパースモデリング幾何学:Geometry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
機械学習:Machine Learning

Linear Algebra Overview and Library and Reference Books

Linear Algebra and Machine Learning Linear algebra is a field of mathematics that uses vectors and matrices to...
2023.05.03
機械学習:Machine Learning線形代数:Linear Algebra
アルゴリズム:Algorithms

Protected: Optimization for the main problem in machine learning

Optimization for main problems in machine learning used in digital transformation, artificial intelligence, and machine learning tasks (barrier function method, penalty function method, globally optimal solution, eigenvalues of Hesse matrix, feasible region, unconstrained optimization problem, linear search, Lagrange multipliers for optimality conditions, integration points, effective constraint method)
2023.05.02
アルゴリズム:Algorithmsグラフ理論スパースモデリング幾何学:Geometry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
アルゴリズム:Algorithms

Protected: Applied Bayesian inference in non-negative matrix factorization: model construction and inference

Non-negative matrix factorization as a construction and inference of applied Bayesian inference models used in digital transformation, artificial intelligence, and machine learning tasks Poisson distribution, latent variable, gamma distribution, approximate posterior distribution, variational inference, spectogram of organ performance data, missing value interpolation, restoration of high frequency components, super-resolution, graphical models, hyperparameters, modeling, auxiliary variables, linear dimensionality reduction, recommendation algorithms, speech data, Fast Fourier Transform, natural language processing
2023.05.01
アルゴリズム:Algorithmsグラフ理論スパースモデリングベイズ推定幾何学:Geometry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
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