Computer Science
Support Vector Machine
100%
Tumor Segmentation
39%
Feature Selection
30%
Gaussian Mixture Model
30%
Feature Extraction
29%
Image Segmentation
28%
Simulation Study
24%
least square support vector machine
23%
Imbalanced Data
21%
Data Classification
20%
Logistic Regression
18%
markov chain monte-carlo
10%
Classification Method
9%
Gradient Descent
9%
Binary Classification
8%
Microarray Data
8%
Data Mining
8%
Cancer Patient
7%
Optimization Algorithm
7%
Time Series Data
6%
Segmentation Technique
6%
Least Squares Methods
6%
High Dimensional Data
6%
Normal Distribution
6%
Fully Convolutional Network
5%
Data Mining Technique
5%
Classification Technique
5%
Classification Problem
5%
Mathematics
Support Vector Machine
55%
Proportional Hazards Model
26%
Simulation Study
25%
least square support vector machine
18%
Survival Analysis
17%
Oversampling
14%
Magnetic Resonance Imaging
13%
Gaussian Mixture Model
13%
Negative Binomial
13%
Mixture Model
13%
Logistic Regression
13%
Gaussian Distribution
12%
Proportional Hazard
11%
Spline
11%
Parameter Estimation
11%
Regression Model
11%
Bayesian
11%
Finite Mixture Model
10%
Covariate
9%
Poisson Regression
9%
Poisson Regression Model
9%
Cox Proportional Hazards Model
8%
Data Mining
7%
Data Pattern
6%
Time Series Data
6%
Dependent Variable
6%
Survival Rate
6%
Cancer Patient
6%
Survival Model
6%
Dimensional Data
5%
Classification Method
5%
Global Method
5%
Weighted Least Squares
5%
Survival Time
5%
Parametric
5%
Estimation Method
5%
Data Mining Technique
5%
Engineering
Support Vector Machine
39%
Gaussian Mixture Model
34%
Microarrays
13%
Bayesian Approach
13%
Region of Interest
10%
Least Square
9%
Feature Extraction
8%
Normal Distribution
7%
Optimum Number
7%
Data Series
6%
Gaussians
6%
Segmentation Technique
6%
