Pureに変更を加えた場合、すぐここに表示されます。

Fingerprint Kei Hiroseが取り組む研究トピックをご確認ください。これらのトピックラベルは、この人物の研究に基づいています。これらを共に使用することで、固有の認識が可能になります。

Mathematics

Factor Analysis
Lasso
Penalized Likelihood
Penalized Maximum Likelihood
Regression
Maximum Likelihood Estimation
Penalty
Maximum Likelihood Estimate
Echo State Network
Facial Animation
Graphical Modeling
Monte Carlo Simulation
Motion Capture
Parameter Selection
Missing Values
Character Animation
Parameter Tuning
Variable Selection
Regularization
Oblique
Model Evaluation
Model Selection Criteria
Tuning
Model
Expectation-maximization Algorithm
Control Points
Regularization Parameter
Degree of freedom
Modeling
Model Selection
Coordinate Descent
Interpolate
Facial Expression
Regularization Method
Regression Coefficient
Entire Solution
Animation
Network Structure
Path
Methodology
EM Algorithm
Common factor
Efficient Algorithms
Relevance Vector Machine
Robust Statistics
Exceed
Selection of Variables
Multicollinearity
Numerical Results
Estimate

Engineering & Materials Science

Factor analysis
Maximum likelihood
Maximum likelihood estimation
Linear regression
Tuning
Parameter estimation
Industry
Contamination
Visualization
Genes
Statistics
Personnel
Feedback

Business & Economics

Factor analysis
Maximum likelihood
Maximum likelihood estimation
Factors
Modeling
Penalty