Deus Ex Machina

Protected: What triggers sparsity and for what kinds of problems is sparsity appropriate?

What triggers sparsity and for what kinds of problems is sparsity suitable for sparse learning as it is utilized in digital transformation, artificial intelligence, and machine learning tasks? About alternating direction multiplier method, sparse regularization, main problem, dual problem, dual extended Lagrangian method, DAL method, SPAMS, sparse modeling software, bioinformatics, image denoising, atomic norm, L1 norm, trace norm, number of nonzero elements

2023.01.09

アルゴリズム:Algorithmsスパースモデリングスパースモデリング微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Overview of meta-heuristics and reference books

Overviews Meta-heuristics can be algorithms used to solve optimization problems. An optimization problem is on...

2023.01.08

アルゴリズム:Algorithmsグラフ理論幾何学: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集合論:Set theory

Protected: Big Data and Bayesian Learning – The Importance of Small Data Learning

Big Data and Bayesian Learning for Digital Transformation (DX), Artificial Intelligence (AI), and Machine Learning (ML) Tasks - Importance of Small Data Learning

2023.01.07

アルゴリズム:Algorithmsグラフ理論ベイズ推定幾何学:Geometry微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Theory of Noisy L1-Norm Minimization as Machine Learning Based on Sparsity (1)

Theory of L1 norm minimization with noise as sparsity-based machine learning for digital transformation, artificial intelligence, and machine learning tasks Markov's inequality, Heffding's inequality, Berstein's inequality, chi-square distribution, hem probability, union Bound, Boolean inequality, L∞ norm, multidimensional Gaussian spectrum, norm compatibility, normal distribution, sparse vector, dual norm, Cauchy-Schwartz inequality, Helder inequality, regression coefficient vector, threshold, k-sparse, regularization parameter, inferior Gaussian noise

2023.01.06

スパースモデリング機械学習:Machine Learning

Protected: Explainable Artificial Intelligence (10) Model-independent Interpretation (Feature Interaction)

Interaction of features, one of the posterior interpretive models that can be explained and used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML).

2023.01.05

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Application of Neural Networks to Reinforcement Learning (2) Basic Framework Implementation

Implementation of a basic framework for reinforcement learning with neural networks utilized for digital transformation, artificial intelligence and machine learning tasks (TensorBoard, Image tab, graphical, real-time, progress check, wrapper for env. Observer, Trainer, Logger, Agent, Experience Replay, episode, action probability, policy, Epsilon-Greedy method, python)

2023.01.04

アルゴリズム:Algorithms強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Math, Music and Computers

Math, music and computers (algorave, live-coding, supercollider, synthesizers, overtone, Clojure, pyhton, FoxDot, generative art)

2023.01.03

音楽:Music

Generative Art, Programs and Algorithms

Generative Art and Programs and Algorithms (clojurescript, javascript, compilation, quil templates, python mode, java mode, processing, ArtBlock, blockchain, curation, ken rilando, autopoiesis, robots, teamlab, algorithms, art, Clojure/Conj, complex systems, information theory, mathematics)

2023.01.02

アート:Artテクノロジー:Technologyビジネス:Business

Ukiyo-e and New Prints – The Old and the New in the Art World

Ukiyo-e and New Prints - The New Wisdom of the Art World (Ukiyo-e, Fukamizu Ito, Tomosui Kawase, Charles Bartlett, Surfing, Fritz Cavellari, Woman in front of the Mirror, Paris World Exposition, Shozaburo Watanabe, Watanabe Woodblock Print Shop, Kuniyoshi Utagawa, 36 Views of Mount Fuji, Hokusai Katsushika, Ghost, Shozaburo Tsutaya, Sharaku Toshusai, Yakusha-e, Kitagawa Utamaro, Bijin Oshukue, Suzuki Harunobu, Azuma Nishikie, Migaraki Bijin, Hishikawa Shinao, TSUTAYA, Type Printing, Edo Period, Muromachi Period, Rakuchu Rakugai-zu Byobu, Melancholy World, Floating World)

2023.01.01

アート:Art歴史

Sun Tzu’s approach has its roots in problem-solving methods.

Sun Tzu's ideas, which are the roots of problem-solving methods (100 victories in 100 battles, advance planning, winning without fighting, five things and seven plans, mausoleum calculation, analysis, objective, visualization)

2022.12.31

中国古典:classics仏教:Buddhism哲学:philosophy禅:Zen課題解決:Problem solving