Computer Science
Least-Mean-Square Algorithm
76%
least mean square algorithm
65%
Radial Basis Function
41%
radial base function neural network
41%
Neural Network
41%
Fast Convergence
39%
Sparse Representation
36%
Biometrics
32%
Learning Algorithm
32%
Convex Combination
31%
Face Recognition
29%
Gradient Descent Method
28%
Hashing
27%
Gradient Descent
27%
Presentation Attack Detection
27%
Nonlinear System Identification
25%
Local Minimum
23%
System Identification
23%
Function Approximation
23%
Channel Estimation
21%
classification approach
19%
Identification Problem
18%
Deep Learning Method
18%
Distributed Network
17%
Convergence Rate
17%
local feature
16%
Pattern Classification
16%
Computational Complexity
14%
Recurrent Neural Network
13%
State Space
13%
Theoretic Framework
13%
Energy Efficient
13%
Authentication
13%
Iris Recognition
13%
Linear Regression Classification
13%
Interaction Order
13%
Theoretic Approach
13%
Learning Rate
13%
time-varying channel
13%
Network Traffic
13%
nonnegative matrix factorization
13%
Scale-Invariant Feature Transform
13%
Tracking State
13%
Convergence Speed
13%
Contrastive Learning
13%
Microarray Data
13%
Inverse Problem
13%
Mutual Information
13%
Adaptive Filter
13%
Random Walk
13%
Engineering
Least Mean Square
58%
Mean Square Error
34%
Principal Components
27%
Component Analysis
27%
Nonlinearity
27%
Nodes
24%
Channel Estimation
20%
Similarities
20%
Learning Algorithm
18%
Computational Cost
17%
Learning System
17%
Adaptive Filter
16%
Gradient Descent Method
15%
Variable Power
13%
Iris Recognition
13%
Parameter Design
13%
Region of Interest
13%
Summarization
13%
Gaussians
13%
Good Result
13%
Square Deviation
13%
Acid Composition
13%
Complex Networks
13%
Feature Extraction
13%
Gradient Descent
13%
Structural Support
13%
Learning Approach
13%
Increasing Demand
13%
Just Noticeable Difference
13%
State-of-the-Art Method
13%
Basis Pursuit
13%
Black-Box Method
13%
Matching Pursuit
13%
Radial Basis Function
13%
Lookup Table
13%
Past Decade
13%
Feature Space
13%
Recurrent Neural Network
13%
Living Organism
13%
Information Gain
13%
Learning Task
13%
Random Forest
13%
Test Data
13%
Transients
11%
Nonlinear System Identification
11%
Major Problem
11%
Steady State Error
10%
Convergence Rate
10%
Degree of Freedom
10%
Energy Error
8%
Mathematics
Mean Square
100%
Neural Network
27%
Fractional Order
20%
Convergence Rate
18%
Basis Function
17%
Gaussian Distribution
13%
Step Size
13%
Nonlinearity
13%
Mean Square Error
11%
Convex Combination
10%
Approximation Function
10%
Nonlinear System
10%
Superiority
9%
Quantum Calculus
9%
Adaptive Filtering
6%
Gamma Function
6%
Numerical Experiment
6%
Stochastics
6%
Cosine
6%
Signal Processing
6%
Closed Form
6%
Regressors
5%