Computer Science
Support Vector Machine
100%
Tumor Segmentation
45%
Gaussian Mixture Model
34%
Image Segmentation
33%
Feature Selection
32%
Feature Extraction
32%
Simulation Study
28%
least square support vector machine
26%
Imbalanced Data
24%
Data Classification
23%
Logistic Regression
21%
Support Vector Machine
21%
markov chain monte-carlo
12%
Gradient Descent
10%
Classification Method
10%
Microarray Data
9%
Binary Classification
9%
Data Mining
9%
Cancer Patient
9%
Least Squares Methods
8%
High Dimensional Data
7%
Time Series Data
7%
Fully Convolutional Network
7%
Segmentation Technique
7%
Normal Distribution
7%
Data Mining Technique
6%
Classification Technique
6%
Classification Problem
5%
Minority Class
5%
Ant Colony Optimization
5%
Medical Diagnosis
5%
Microarray Data Analysis
5%
Genetic Algorithm
5%
Regression Tree
5%
Bayesian Approach
5%
Text Categorization
5%
Extraction Process
5%
Convolutional Neural Network
5%
Subband Signal
5%
segmentation accuracy
5%
Clustering Analysis
5%
Frequency Domain
5%
Unconstrained Optimization
5%
Unsupervised Learning
5%
Fast Fourier Transform
5%
Laplace Operator
5%
Laplacian Distribution
5%
Linear Classifier
5%
Visualization Process
5%
Automatic Segmentation
5%
Mathematics
Support Vector Machine
62%
Proportional Hazards Model
30%
Simulation Study
28%
least square support vector machine
21%
Survival Analysis
20%
Oversampling
16%
Magnetic Resonance Imaging
15%
Gaussian Mixture Model
15%
Negative Binomial
15%
Mixture Model
15%
Logistic Regression
15%
Gaussian Distribution
14%
Proportional Hazard
13%
Spline
13%
Parameter Estimation
13%
Regression Model
12%
Bayesian
12%
Finite Mixture Model
11%
Covariate
10%
Poisson Regression
10%
Poisson Regression Model
10%
Cox Proportional Hazards Model
10%
Data Mining
8%
Data Pattern
7%
Time Series Data
7%
Dependent Variable
7%
Survival Rate
7%
Cancer Patient
7%
Survival Model
7%
Dimensional Data
6%
Classification Method
6%
Global Method
6%
Weighted Least Squares
6%
Survival Time
6%
Parametric
5%
Estimation Method
5%
Data Mining Technique
5%
Nonparametric Regression Model
5%
Residuals
5%
Bayesian Approach
5%
Statistical Hypothesis Testing
5%
B-Spline
5%
Regression tree
5%
Genetic Algorithm
5%
Laplace Operator
5%
Expectation-Maximization Algorithm
5%
Blood Sugar
5%
Unbalanced Data
5%
Bivariate
5%
Copula
5%
Engineering
Support Vector Machine
39%
Gaussian Mixture Model
38%
Microarrays
15%
Bayesian Approach
15%
Region of Interest
11%
Least Square
10%
Normal Distribution
8%
Optimum Number
8%
Data Series
7%
Gaussians
7%
Feature Extraction
7%
Segmentation Technique
7%
Expectation Maximization Algorithm
5%
Transfer Learning
5%
Burrs
5%
Newton's Method
5%
Genetic Algorithm
5%
Data-Mining Technique
5%
Ant Colony Optimization
5%
Bio-Oil
5%
Phase Composition
5%
Convolutional Neural Network
5%
Capacitive
5%
Maximum Likelihood
5%
