数学:Mathematics

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Protected: Overview of the topic model as an applied model of Bayesian inference and application of variational inference

Overview of topic models as applied Bayesian inference models for digital transformation, artificial intelligence, and machine learning tasks and application of variational inference variational inference algorithms, Dirichlet distribution, categorical distribution, LDA, topic models in multimedia
アルゴリズム:Algorithms

Protected: Hidden Markov model building and structured variational inference in Bayesian inference

Hidden Markov model building and structured variational inference (mini-batch, structured variational inference, fully decomposed variational inference, additional learning, underflow, message passing, exact inference algorithms, forward-backward algorithms, approximate distribution of parameters) in Bayesian inference for digital transformation, artificial intelligence, machine learning tasks.
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Protected: Reinforcement learning application areas (2)

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Protected: Reinforcement learning application areas (1)Behavior Optimization

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About ATTENTION in Deep Learning

About "Attention Is All You Need" "Attention Is All You Need" will be the paper that proposed a neural netwo...
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Protected: Overcoming Weaknesses in Deep Reinforcement Learning Dealing with Locally Optimal Behavior/Overlearning (2) Inverse Reinforcement Learning

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Protected: Overcoming Weaknesses in Deep Reinforcement Learning Dealing with Locally Optimal Behavior/Overlearning(1)Imitation Learning

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Protected: Overcoming Weaknesses in Deep Reinforcement Learning Dealing with Poor Reproducibility: Evolutionary Strategies

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Overview of the Bandit Problem and Examples of Application and Implementation

  Overview of the Bandit Problem The Bandit problem is a type of reinforcement learning in which a decision-ma...
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Protected: Application of Bandit Method (3) Recommendation System

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