Kernel Density Estimation

Protected: Stochastic Generative Models and Gaussian Processes(3) Representation of Probability Distributions

Stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks and representation of probability distributions in samples as a basis for Gaussian processes ,weighted sampling, kernel density estimation, distribution estimation using neural nets

2022.09.12

アルゴリズム:Algorithmsグラフ理論ベイズ推定微分積分:Calculus推論技術:inference Technology最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Introduction to Customer Motivation Research

HMM, k-medoids, and kernel density estimation for customer flow analysis used in digital transformation and artificial intelligence tasks.

2021.10.15

IOT技術:IOT Technology地理空間情報処理機械学習:Machine Learning

Protected: Classification (3) Probabilistic Discriminant Function(Logistic, Softmax Regression) and Local Learning(K-nearest neighbor method, kernel density estimation)

Probabilistic discriminant functions and local learning used in classifiers for data classification

2021.09.17

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術