人工知能:Artificial Intelligence

アルゴリズム:Algorithms

Stochastic Generative Models and Gaussian Processes(1) Basis of Stochastic Models

Stochastic generative models for digital transformation, artificial intelligence, and machine learning tasks and fundamentals of stochastic models to understand Gaussian processes (independence, conditional independence, simultaneous probability, peripheralization and graphical models)
アルゴリズム:Algorithms

stochastic optimization

Stochastic optimization methods for solving large-scale learning problems on large amounts of data used in digital transformation, artificial intelligence, and machine learning tasks supervised learning and regularization, basics of convex analysis, what is stochastic optimization, online stochastic optimization, batch stochastic optimization, stochastic optimization in distributed environments
アルゴリズム:Algorithms

Statistical Learning Theory

Theory on statistical properties of machine learning algorithms utilized in digital transformation, artificial intelligence, and machine learning tasks (law of large uniform numbers, universal kernel, discriminant fitting loss)
IOT技術:IOT Technology

About WoT (Web of Things) technology

Overview and challenges of the Web of Things WoT, an extension of IoT technology used for digital transformation, artificial intelligence, and machine learning tasks
アルゴリズム:Algorithms

Continuous optimization in machine learning

Sequential optimization, an important computational method for constructing machine learning algorithms used in digital transformation artificial intelligence and machine learning tasks
アルゴリズム:Algorithms

Protected: Gaussian Processes – The Advantages of Functional Clouds and Their Relationship to Regression Models, Kernel Methods, and Physical Models

Gaussian Processes as Applications of Stochastic Generative Models for Digital Transformation (DX), Artificial Intelligence (AI), and Machine Learning (ML) Tasks Miscellaneous Function Clouds Advantages and Regression Models and their Relationship to Kernel Methods and Physical Models
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
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.
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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
アルゴリズム:Algorithms

Agent-Based Semantic Web Service Composition

Overview of Multi-Agent Systems A multi-agent system is a system in which multiple agents (AI characters...
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