DX

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.
アルゴリズム:Algorithms

Protected: Comparison of clustering using k-means and Bayesian estimation methods (mixed Gaussian model)

Comparison of k-means and Bayesian estimation (mixed Gaussian model) clustering as probabilistic generative models utilized in digital transformation, artificial intelligence , and machine learning tasks
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