最適化:Optimization Protected: Gaussian Processes and Machine Learning – Introduction
Overview of Gaussian Generative Models for Machine Learning without Parameterization of Probabilistic Generative Models
数学:Mathematics
最適化:Optimization アルゴリズム:Algorithms Protected: Support Vector Machines – Overview
Overview of SVMs (Support Vector Machines), the basis for various machine learning methods such as classification, regression, and unsupervised learning.
アルゴリズム:Algorithms Protected: Mixed Unigram Model
Basics of topic models for classification of document data, compound unigram models and LDA for teaching beginners
アルゴリズム:Algorithms Protected: Unigram Model
Basics of topic model for classification of document data for education of beginners, unigram model
人工知能:Artificial Intelligence What is meaning (1)
Artificial Intelligence (Robots) and the Meaning of Words from a Philosophical Perspective, Semantic and Formal Approaches
アルゴリズム:Algorithms Structures, Algorithms, and Functions
The meaning of words from the perspective of algebraic structures, formal logic and mathematical logic
アルゴリズム:Algorithms Protected: Proof of Indeterminacy
Algorithms for identifying the limits of algorithms, proving undecidability, and problems that cannot be computed.
数理論理学:Mathematical logic Formal Languages and Mathematical Logics
Overview of formal linguistics and semantics as a basis for programming languages and natural language processing
機械学習:Machine Learning Protected: Bayesian Estimation and Information Theory
Bayesian estimation and information theory for artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), from de Moivre's probability theory to Bayesian probability and Shannon's information engineering and tools for Bayesian estimation (STAN)
機械学習:Machine Learning Integration of probability and logic (1) Bayesian Net, KBMC, PRM and SRL
Integration of probability and logic, automatic generation of Bayesian nets using knowledge base (KBMC), prolog, backward reasoning