Mathematics
Higher Dimensions
100%
Dimensional Data
74%
Asymptotics
60%
Polynomial
49%
Real Data
48%
Naïve Bayes
47%
Canonical Correlation
42%
Principal Components
42%
Pattern Recognition
42%
Histogram
42%
Mean Square Error
33%
Matrix
32%
Simulated Data
32%
Eigenvector
32%
Principal Component Analysis
32%
Classification Problem
28%
Variance
26%
Regression Function
26%
Discriminant Analysis
22%
Kernel Density Estimation
21%
Canonical Correlation Analysis
21%
Asymptotic Bias
21%
Asymptotic Variance
21%
Spline
21%
Covariance Matrix
21%
Convey Information
21%
Dependence Structure
21%
Permutation
21%
Random Sample
21%
Support Vector Machine
21%
Individual Variable
21%
Interpolation Error
21%
Quadratic Form
21%
Hypothesis Test
21%
Joint Density
21%
Linear Interpolation
21%
Binary Data
21%
Testing Procedure
21%
Principal Component Regression
21%
Median
21%
Independent Component
21%
Superiority
21%
Random Variable
21%
Thresholding
21%
Simulation Study
21%
Correlation Matrix
19%
Bivariate
16%
Pointwise
16%
Observed Data
16%
Test Statistic
14%
Engineering
Independent Component Analysis
64%
Feature Extraction
57%
Principal Components
42%
Design of Experiments
32%
Dimensional Data
28%
Component Analysis
28%
Pattern Recognition
23%
Industrial Control
21%
Process Control
21%
High Resolution
21%
Matrix Assisted Laser Desorption Ionisation
21%
Sparsity Pattern
21%
Regression Function
21%
Error Rate
21%
Observed Data
21%
Step Function
21%
Mean Square Error
21%
Segmentation Method
21%
Correlation Matrix
21%
Design Concept
17%
Design Technique
17%
Flotation
17%
Level Control
17%
Relative Performance
17%
Contention
17%
Learning System
17%
Gaussians
10%
Simulated Data
10%
Limitations
10%
Bayes Rule
10%
Class Problem
10%
Special Attention
10%
Illustrates
10%
Engineering
10%
Graphical Information
10%
Complete Set
10%
Decision Rule
10%
Data Series
10%
Data Direction
10%
Bridging
10%
Class Label
10%
Big Data
10%
Matlab Code
10%
Bioinformatics
10%
Feature Space
9%
Processing Step
7%
Acquired Data
7%
Economic Benefit
7%
Grid Point
7%
Dimensionality
7%
Computer Science
Independent Component Analysis
64%
Feature Selection
50%
Feature Extraction
46%
Image Segmentation
27%
Learning System
27%
Machine Learning
27%
Pattern Recognition
25%
Economic Performance
21%
Design Experiment
21%
Performance Evaluation
21%
Support Vector
21%
Continuous Data
21%
Ranking Vector
21%
Clustering Analysis
21%
Identify Cluster
21%
Efficient Computation
21%
Computational Load
21%
Feature Subset Selection
21%
High Dimensional Data
21%
Feature Space
19%
Preprocessing Step
16%
Correlation Matrix
14%
Segmentation Method
14%
Interpretability
10%
Interior-Point Method
10%
Instance Space
10%
Special Attention
10%
Dimensional Structure
10%
Computational Time
10%
Simulated Data
10%
Theoretical Framework
10%
Big Data
10%
Dimensionality Reduction
10%
Image Analysis
10%
Functional Data
10%
Nave Bayes
10%
Bioinformatics
10%
Incorrect Conclusion
7%
Design Technique
7%
Relative Performance
7%
Modified Version
7%
Graphical Information
7%
Computer Simulation
7%
Decision Tree
5%
