Deus Ex Machina

Protected: Optimal arm identification and AB testing in the bandit problem_2

Optimal arm identification and AB testing in bandit problems utilized in digital transformation, artificial intelligence, and machine learning tasks sequential deletion policy, false positive rate, fixed confidence, fixed budget, LUCB policy, UCB policy, optimal arm, score-based method, LCB, algorithm, cumulative reward maximization, optimal arm identification policy, ε-optimal arm identification

2023.03.09

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

Protected: Statistical Mathematical Theory for Boosting

Statistical and mathematical theory boosting generalized linear model, modified Newton method, log likelihood, weighted least squares method, boosting, coordinate descent method, iteratively weighted least squares method, iteratively reweighted least squares method, IRLS method, weighted empirical discriminant error, parameter update law, Hessian matrix, corrected Newton method, Newton method, Newton method, iteratively reweighted least squares method, IRLS method) used for digital transformation, artificial intelligence, machine learning tasks. iteratively reweighted least square method, IRLS method, weighted empirical discriminant error, parameter update law, Hessian matrix, corrected Newton method, modified Newton method, Newton method, Newton method, link function, logistic loss, logistic loss, boosting algorithm, logit boost, exponential loss, convex margin loss, adaboost, weak hypothesis, empirical margin loss, nonlinear optimization

2023.03.08

アルゴリズム:Algorithms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

Protected: Quasi-Newton Methods as Sequential Optimization in Machine Learning (2)Quasi-Newton Methods with Memory Restriction

Quasi-Newton method with memory restriction (sparse clique factorization, sparse clique factorization, chordal graph, sparsity, secant condition, sparse Hessian matrix, DFP formula, BFGS formula, KL divergence, quasi-Newton method, maximal clique, positive definite matrix, positive definite matrix completion, positive define matrix composition, graph triangulation, complete subgraph, clique, Hessian matrix, triple diagonal matrix Hestenes-Stiefel method, L-BFGS method)

2023.03.07

アルゴリズム:Algorithms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集合論:Set theory

Protected: An example of machine learning by Bayesian inference: inference by collapsed Gibbs sampling of a Poisson mixture model

Inference by collapsed Gibbs sampling of Poisson mixed models as an example of machine learning by Bayesian inference utilized in digital transformation, artificial intelligence, and machine learning tasks variational inference, Gibbs sampling, evaluation on artificial data, algorithms, prior distribution, gamma distribution, Bayes' theorem, Dirichlet distribution, categorical distribution, graphical models

2023.03.06

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線形代数:Linear Algebra

Overview of the Knowledge Graph and summary of related presentations at the International Society for the Study of Knowledge Graphs (ISWC)

Overview of knowledge graphs used for digital transformation, artificial intelligence, and machine learning tasks and summary of related presentations at the International Society for the World Wide Web Conference ISWC (ISWC, natural language processing, reasoning techniques, data analytics, robotics, IOT, search engine, inference engine Entity Extraction, Picture Entity Linking, Relational Learning, Deep Learning, Fusion of Logic and Probability, Relationship Extraction, Topic Models, Chatbots, Question Answering, Semantic Web Technologies, Knowledge Information Processing, RDF Store, SPARQL, Ontology Matching, Database Technologies)

2023.03.05

Symbolic Logicweb技術:web technologyエキスパートシステム:expertsystemグラフ理論セマンテックウェブ技術:Semantic web Technology情報理論/計算理論推論技術:inference Technology最適化:Optimization検索技術:Search Technology機械学習:Machine Learning

IA (Intelligence Augmentation) overviews and its application cases

Intelligence Augmentation used for digital transformation, artificial intelligence, and machine learning tasks and its application examples (application examples in the agriculture sector, transportation sector, energy sector, defense sector application examples, application examples in the financial industry, application examples in the manufacturing industry, application examples in the educational domain, application examples in the medical domain, perception, understanding, judgment, decision, learning, problem solving, creativity, capability, complementation, amplification)

2023.03.04

ICT技術:ICT Technology人工知能:Artificial Intelligence数学:Mathematics

Protected: Explainable Artificial Intelligence (14)Model Independent Interpretation (Scoped Rules (Anchors))

Model-independent interpretation with Anchor as explainable machine learning leveraged for digital transformation, artificial intelligence, and machine learningtasks Python, anchor, Alibi, Java, Anchors, BatchSAR, tabular data, Multi-Armed Bandit, KL-LUCB, reinforcement learning, graph search algorithms, LIME

2023.03.03

アルゴリズム:Algorithms説明できる機械学習

Protected: Applying Neural Networks to Reinforcement Learning Applying Deep Learning to Strategy:Advanced Actor Critic (A2C)

Application of Neural Networks to Reinforcement Learning for Digital Transformation, Artificial Intelligence, and Machine Learning tasks Implementation of Advanced Actor Critic (A2C) applying deep learning to strategies (Policy Gradient method, Q-learning, Gumbel Max Trix, A3C (Asynchronous Advantage Actor Critic))

2023.03.02

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

Protected: Implementation of recommendation algorithm using Clojure/Mahout

Implementation of recommendation algorithms using Clojure/Mahout for digital transformation, artificial intelligence, and machine learning tasks information retrieval statistics, precision, recall, DCG, IDCG, Ideal Discounted Cumulative Gain, Discounted Cumulative Gain, Discounted Cumulative Gain, fall-out, F-measure, harmonic mean, RMSE, k-nearest neighbor method, Pearson correlation, Spearman's rank correlation coefficient, Pearson correlation similarity, similarity measure Jaccard distance, Euclidean distance, cosine distance, pairwise differences, item-based, user-based

2023.03.01

Clojureアルゴリズム:Algorithmsグラフ理論微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Systems Thinking Approach and the SDGs

Systems thinking approaches and SDGs that are useful in examining the challenges of tasks such as machine learning, artificial intelligence, and digital transformation leverage points, system dynamics modeling, stock & flow, system archetypes, loop diagrams, CLD, time-series change pattern graphs, BOT

2023.02.28

組織活性化:revitalize an organization経済学課題解決:Problem solving