最適化:Optimization

Protected: State Space Modeling with R – using dlm and KFAS (1) Basic analysis using dlm

Analysis using dlm on real data (quarterly sales volume data of products) in the analysis of time-series data (on data prediction and filtering and smoothing) used in digital transformation, artificial intelligence , and machine learning tasks.

2022.06.02

IOT技術:IOT TechnologyStream Data Processing地理空間情報処理推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning画像認識技術非同期/並行処理:Asynchronous/parallel processing

Weather Forecasting and Data Science

Weather forecasting and data assimilation for simulation and data science integration for digital transformation, artificial intelligence, and machine learning task utilization

2022.06.01

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithmsシミュレーションスパースモデリングデータベース技術:DataBase Technologyベイズ推定強化学習微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Regression Analysis with Support Vector Machines (2) Approach to Nonlinear Regression Problems

Approaches to nonlinear regression problems with support vector machines (quantile regression, kernel quantile regression, heterogeneous distribution models, ε-insensitive loss functions) utilized in digital transformation, artificial intelligence, and machine learning tasks.

2022.05.27

アルゴリズム:Algorithms幾何学:Geometry微分積分:Calculus最適化:Optimization機械学習:Machine Learning画像認識技術自然言語処理:Natural Language Processing関係データ学習音声信号認識技術

Protected: Time series data analysis (3)Filtering of nonlinear and non-Gaussian state space models (e.g. particle filter)

Filtering and smoothing of nonlinear and non-Gaussian state-space models using particle filters in the analysis of time-series data with state-space models for digital transformation, artificial intelligence, and machine learning tasks

2022.05.26

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithmsオンライン学習微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Simulation, Data Assimilation, and Emulation

Fusion of extrapolation (deduction) estimation using simulation and interpolation (induction) estimation using machine learning (simulation assimilation and emulation using DNN, etc.) for digital transformation, artificial intelligence and machine learning tasks

2022.05.25

Stream Data Processingアルゴリズム:Algorithmsグラフ理論シミュレーション強化学習微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Differences between hidden Markov models and state-space models and parameter estimation for state-space models

Differences between state-space models, Bayesian models, and hidden Markov models used in digital transformation, artificial intelligence, and machine learning tasks, and parameter estimation for state-space models

2022.05.21

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithmsグラフ理論微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics

Protected: Regression Analysis with Support Vector Machines (1)Approach to linear regression problems

Regression problems with linear functions using dual problems with Lagrangian functions with support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks

2022.05.20

微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

Protected: Time series data analysis (2) Filtering Sequential estimation of state and seasonal adjustment model

Prediction of time series using state-space models of time series data utilized in digital transformation, artificial intelligence, and machine learning; interpolation, parameter estimation, and analysis of store sales using component decomposition and standard seasonal adjustment models.

2022.05.18

IOT技術:IOT TechnologyStream Data Processing微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Time Series Data Analysis (1) – State Space Model

Overview of various state-space models linear and Gaussian state-space models, AR models, autoregressive and moving average ARMA models, component decomposition models, and time-varying coefficient models) for time series data analysis used in digital transformation, artificial intelligence, and machine learning tasks

2022.05.13

Stream Data Processingアルゴリズム:Algorithmsオンライン学習時系列データ解析最適化:Optimization機械学習:Machine Learning異常検知・変化検知線形代数:Linear Algebra

Protected: Structural Regularization Learning with Submodular Optimization (3)Formulation of the structural regularization problem with submodular optimization

Application of submodular function optimization, an optimization method for discrete information, to structural regularization problems and formulations using submodular optimization (linear approximation and steepest effect methods, accelerated proximity gradient method, FISTA, parametric submodular minimization, and splitting algorithms)

2022.05.12

アルゴリズム:Algorithmsグラフ理論スパースモデリング微分積分:Calculus推論技術:inference Technology数理論理学最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics関係データ学習