Symbolic Logic Small data learning, fusion of logic and machine learning, local/population learning
Machine Learning Artificial Intelligence Digital Transformation Stochastic Generative Models Bayesian Modeling Natural L...
数学:Mathematics
Symbolic Logic アルゴリズム:Algorithms Protected: Equivalence of neural networks (deep learning) and Gaussian processes
On the equivalence of Gaussian processes and neural networks, an applied model of stochastic generative models used in digital transformation, artificial intelligence, and machine learning tasks from Neal's paper
アルゴリズム:Algorithms Protected: Overviews of reinforcement learning and implementation of a simple MDP model
Overview of reinforcement learning used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks and implementation of a simple MDP model in python
アルゴリズム:Algorithms Protected: Application of Variational Bayesian Algorithm to Latent Dirichlet Models
Application of the variational Bayesian algorithm, a computational method for stochastic generative models utilized in digital transformation, artificial intelligence , and machine learning tasks, to latent Dirichlet models
アルゴリズム:Algorithms Protected: Maximum Propagation Method for Calculating MAP Assignments in Graphical Models
Estimating the maximized state of probability values (MAP assignment) with the maximum propagation method in probabilistic generative models used in digital transformation, artificial intelligence, and machine learningtasks (TRW maximum propagation method, STA condition, maximum propagation method on a factor graph with cycles, maximum propagation on a tree graph, MAP estimation by message propagation)
アルゴリズム:Algorithms Protected: Foundations of Measure Theory for Nonparametric Bayesian Theory
Foundations of measure theory for nonparametric Bayesian theory (independence of random measures, monotone convergence theorem in Laplace functionals, propositions valid with probability 1, Laplace transform of probability distribution, expectation computation by probability distribution, probability distribution, monotone convergence theorem, approximation theorem by single functions, single functions, measurable functions using Borel set families, Borel sets, σ-finite measures, σ-additive families, Lebesgue measures, Lebesgue integrals)
アルゴリズム:Algorithms Protected: Calculation of Gaussian processes (1) Calculation by the auxiliary variable method
Approximate computation of Gaussian process models, an application of stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks, using the partial data method and the auxiliary variable method
Clojure Probabilistic Programming with Clojure
Probabilistic programming with Clojure.Anglican utilized for digital transformation, artificial intelligence, and machine learning tasks gorilla-repl, Stan, BUGS, Picture, Turing, Gen, PyStan PyMC, pomegranater, Lea, bayesloop, Edward, Tensorflow Probability, Pyro, BLOG, Dyna, ProbLog, Church, Anglican, Distributions
Symbolic Logic Modeling that combines probability and logic (2) PLL (Probabilistic Logical Learning)
Fusion modeling of probability and logic Probabilistic Logical Learning, ILP, PRISM used for digital transformation, artificial intelligence, and machine learning tasks.
アルゴリズム:Algorithms Protected: Replica Exchange Monte Carlo and Multicanonical Methods
On replica exchange Monte Carlo and multi-canonical methods, which are algorithms to avoid falling into local solutions in Markov chain Monte Carlo methods used for digital transformation, artificial intelligence, and machine learning tasks.