hummingbird

オンライン学習

Protected: Reinforcement Learning with Function Approximation (2) – Function Approximation of Value Functions (For Online Learning)

Theory of function approximation online methods gradient TD learning, least-squares based least-squares TD learning (LSTD), GTD2)for reinforcement learning with a huge number of states used in digital transformation , artificial intelligence , and machine learning tasks, and regularization with LASSO.
オントロジー

Ontology-based failure diagnosis systems, fleet case reuse and integration with AI technology

  Fleet case, fault diagnosis system and ontology Fleet Case is a system for companies that own multiple devic...
強化学習

Protected: Reinforcement Learning with Function Approximation (1) – Function Approximation of Value Functions (Batch Learning Case)

Function approximation in the case of batch learning of value functions to deal with a huge number of states in reinforcement learning for digital transformation, artificial intelligence, and machine learning tasks.
推論技術:inference Technology

Protected: Modeling of time series and spatial data (1)(Dynamic linear model)

Bayesian modeling of temporal and spatial models with a focus on dynamic linear models and evaluation using MCMC
web技術:web technology

Workflow & Services Technologies

   About Workflow & Services Technologies Workflow and service technology play an important role in busin...
IOT技術:IOT Technology

Protected: Model-based reinforcement learning(Sparse sampling, UCT, Monte Carlo search tree)

Model-based reinforcement learning (sparse sampling, UCT, Monte Carlo search trees) used for digital transformation artificial intelligence , and machine learning tasks.
アルゴリズム:Algorithms

Machine Learning Professional Series Bayesian Deep Learning Reading Notes

Machine Learning Professional Series Bayesian Deep Learning Reading Notes Writing a reading note from "Bayesi...
セマンテックウェブ技術:Semantic web Technology

ISWC2010 Papers

ISWC2010 Papers From ISWC2010, an international conference on Semantic Web technology, one of the artificial i...
グラフ理論

Structural Learning

  About Structural Learning Learning the structure that data has is important for interpreting what the data is a...
微分積分:Calculus

Machine Learning Professional Series “Continuous Optimization for Machine Learning” Reading Memo

Summary Continuous optimization in machine learning is a method for solving optimization problems in which varia...
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