hummingbird

アルゴリズム:Algorithms

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
アルゴリズム:Algorithms

Overview of meta-heuristics and reference books

  Overviews Meta-heuristics can be algorithms used to solve optimization problems. An optimization problem is on...
アルゴリズム:Algorithms

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
スパースモデリング

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
推論技術:inference Technology

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).
アルゴリズム:Algorithms

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)
音楽:Music

Math, Music and Computers

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

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)
アート:Art

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)
中国古典:classics

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)
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