Engineering
Molten Steel
100%
Box Model
83%
Reluctance Motor
50%
Deep Learning
49%
Convolutional Neural Network
47%
Statistical Model
43%
Loss Function
41%
Design Optimization
41%
Deep Neural Network
41%
Objective Function
40%
Magnetic Circuit
38%
Circuit Design
38%
Level Set Method
38%
Autoencoder
37%
Sparse Coding
33%
Finite Element Method
33%
Consumption Pattern
33%
Independent Component Analysis
33%
Matrix Factorization
33%
Localization Problem
33%
Optimization Method
32%
Experimental Result
31%
Magnetic Field
31%
Real Data
30%
Conventional Method
29%
Direct Connection
27%
Distorted Image
25%
Conditional Entropy
25%
Regression Function
25%
Random Forest
24%
Observed Data
22%
Laplace Operator
22%
Steel Making
20%
Similarities
19%
Continuous Casting Process
17%
Data Show
16%
Diffraction Limit
16%
Operational Planning
16%
Energy Systems
16%
Physical Quantity
16%
Probability Density Function
16%
Field Computation
16%
Electric Machine
16%
Artificial Neural Network Model
16%
Theoretic Quantity
16%
Demand Profile
16%
Solar Energy
16%
Electricity Consumption
16%
Generalized Gaussian Distribution
16%
Support Vector Machine
16%
Mathematics
Matrix (Mathematics)
66%
Support Vector Machine
66%
Em Algorithm
56%
Numerical Experiment
55%
Probability Model
50%
Factorization
50%
Information Content
50%
Linear Combination
45%
Information Geometry
45%
Estimation Method
43%
Manifold
35%
Inferential Statistics
33%
Naïve Bayes
33%
Parametric
33%
Neural Network
33%
Changepoint Detection
33%
Principal Component Analysis
33%
Ridge Functions
33%
Linear Regression
33%
Mixture Model
27%
Parameter Estimation
26%
Observed Data
25%
Real-World Data
25%
Geometrical Property
25%
Simplex
25%
Inverse Function
25%
Kernel Method
25%
Statistical Independence
25%
Integral Transform
25%
Pythagorean
25%
Convergence Property
25%
Programming Problem
22%
Multivariate Analysis
22%
Conditional Entropy
22%
Maximum Entropy
20%
Deep Learning
18%
Probability Distribution
16%
Arithmetic Operation
16%
Channel Capacity
16%
Apply It
16%
Loss Function
16%
Increasing Function
16%
Density Function
16%
Wavelet Analysis
16%
Geometric Interpretation
16%
Matrix Inversion
16%
Probability Theory
16%
Clustering
16%
Continuous Distribution
16%
Ridgelets
16%
Keyphrases
Molten Steel Temperature
50%
Grey-box Model
50%
Tundish
50%
Loss Function
45%
Information Geometry
41%
Modal Linear Regression
33%
Robust Loss Function
33%
Photovoltaic Utilizations
33%
Sparse Coding
33%
Non-negative Matrix Factorization
33%
Symmetric Distortion
33%
Radially Symmetric
33%
Multiple Kernel Learning
33%
Entropy Minimization
33%
Conditional Entropy
33%
Multi-objective Topology Optimization
33%
Statistical Model
31%
Calibrated Images
25%
Parameter Calibration
25%
Naive Bayes Model
25%
Acoustic Signal
25%
Flow Information
25%
Continuous Distribution
25%
Online Algorithms
25%
Nonparametric
25%
Multi-frame Super-resolution
25%
Bregman Divergence
25%
Generalization Performance
22%
Boosting Algorithm
22%
Double Sparsity
20%
Temps
20%
Similarity Matrix
19%
KL Divergence
16%
Weak Independence
16%
Categorical Distribution
16%
Mixture Modeling
16%
Hessian
16%
Online Learning
16%
Sequential Extraction
16%
Estimation Method
16%
Minor Component Analysis
16%
Blind Source Separation
16%
Rotationally Symmetric
16%
Additive Mixing
16%
Transition Probability Matrix
16%
Density Function
16%
Imaging Data
16%
Preference Parameters
16%
Plackett-Luce Model
16%
Artificial Neural Network Model
16%
