Mathematics
Activation
13%
Activation Function
13%
Additive Noise
36%
Calculus of variations
8%
Chordal Graphs
21%
Class
15%
Clique
9%
Closure
9%
Connected Components
45%
Converge
9%
Convex Body
15%
Convex Optimization
8%
Count
8%
Cycle
13%
Deconvolution
36%
Derivative
7%
Effect Size
9%
End point
17%
Estimator
28%
Expand
9%
False
23%
Fourier transform
13%
Fractional Powers
41%
Gaussian distribution
13%
Graph in graph theory
21%
Hausdorff Distance
37%
Heart
12%
High Power
9%
High-dimensional
6%
Induced Subgraph
18%
Interval
9%
Kernel Density Estimate
22%
Lasso
18%
Learning
8%
Linear regression
7%
Linear Time
8%
Lower bound
52%
Mean square error
11%
Message Passing
10%
Methodology
6%
Minimax
53%
Minimax Rate
20%
Model
12%
Network Analysis
12%
Neural Nets
64%
Neural Networks
10%
Norm
7%
Observation
20%
Optimality
13%
Optimization Problem
5%
Packing
11%
Parameter Tuning
19%
Polynomial
6%
Proportion
41%
Random Design
10%
Regularization Technique
9%
Ridge
54%
Ridge Functions
17%
Slope
44%
Sparsity
8%
Standards
8%
Statistical Analysis
8%
Statistical Estimation
9%
Statistics
10%
Subgraph
38%
Subset
5%
Thresholding
18%
Trade-offs
47%
Type I error
8%
Unbiased estimator
10%
Upper bound
12%
Variable Selection
8%
Vertex Degree
10%
Engineering & Materials Science
Chemical activation
13%
Computer simulation
12%
Cones
6%
Convex optimization
24%
Decision trees
11%
Derivatives
6%
Impurities
11%
Linear regression
70%
Mathematical operators
6%
Maximum likelihood estimation
53%
Mean square error
7%
Message passing
100%
Neural networks
28%
Polynomials
6%
Sampling
16%
Business & Economics
Calculus of Variations
12%
Convex Optimization
11%
Effect Size
11%
Estimation Risk
10%
Estimator
6%
Linear Regression
8%
Lower Bounds
7%
Optimization Problem
7%
Proportion
34%
Regularization
40%
Statistical Estimation
11%
Trade-offs
34%
Type I Error
9%
Upper Bound
7%
Variable Selection
14%
