バンディッド問題 Theory and Algorithms for the Bandit Problem
The theory and algorithms of the Bandit Problem for selecting optimal strategies to be utilized in digital transformation, artificial intelligence, and machine learning tasks
digital transformation
バンディッド問題 IOT技術:IOT Technology Microservices and Efficient Application Development and Multi-Agent Systems
Microservices and efficient development and implementation in multi-agent systems and Clojure for digital transformation, artificial intelligence and machine learning tasks
アルゴリズム:Algorithms Protected: Dynamic Programming Algorithms and Data Structures
Algorithms and data structures of dynamic programming (memoization, Fibonacci sequence, knapsack problem), a fundamental technique of machine learning used in digital transformation, artificial intelligence and machine learning tasks.
R Protected: Structured Support Vector Machines
SVM structure learning and parsing using the deletion plane method algorithm on support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks, and protein similarity sequence search
Symbolic Logic Application of knowledge graphs to question answering systems
Application of knowledge graphs to question answering systems for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
IOT技術:IOT Technology Protected: Drones and 3D Model Reconstruction Technology
Drones and 3D model recovery technology (SfM, MVS) used for geographic information processing for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
アルゴリズム:Algorithms Hardware approaches to machine learning – FPGA, optical computing, quantum computing
Different approaches in hardware used for digital transformation, artificial intelligence and machine learning - FPGAs, optical computing and quantum computing
アルゴリズム:Algorithms Protected: Support vector machine software and implementation
Classification and regression with SVM using R kernlab in support vector machines used for digital transformation, artificial intelligence and machine learning tasks and LIBSVM algorithms SMO algorithm, shrinking
アルゴリズム:Algorithms Protected: Computing Peripheral Probability Distributions – Mean Field Approximation
Application of graphical models to stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks; approximate computation and algorithms for peripheral probability distributions from variational problems using mean field approximation
アルゴリズム:Algorithms Protected: Variational Bayesian Learning Framework and Algorithms
Overview of variational Bayesian learning and algorithms (variational Bayesian learning, empirical variational Bayesian learning) for approximate computation of complex models in stochastic generative models used in digital transformation, artificial intelligence, and machine learning tasks.