Mathematics
Learning
100%
Active Learning
35%
Classifier
33%
Multi-class
30%
Metric space
27%
Learnability
27%
Bayes
25%
Generalization
25%
Learning Algorithm
25%
Greedy Algorithm
23%
Generalization Error
21%
Ranking
21%
Clustering
19%
Categorical
19%
Predictors
19%
Covering
16%
Population statistics
16%
Stochastic Search
14%
Nearest Neighbor
13%
Prediction
13%
Approximation
13%
Fairness
13%
Support Vector Machine
13%
Heavy Tails
12%
Supervised Learning
12%
Substitution
9%
Half-space
9%
Parameter Estimation
9%
Clustering Methods
9%
Binary Classification
9%
Approximation Algorithms
9%
Linear regression
6%
Separability
6%
Least Squares
6%
Random variable
5%
Covariates
5%
Standards
5%
Estimate
5%
Robustness
5%
Batch
5%
Performance Guarantee
5%
Statistics
5%
Online Learning
5%
Data Distribution
5%
Covariance Matrix Estimation
5%
Plug-in
5%
Discrepancy
5%
Cost Function
5%
Estimator
5%
Metric
5%
Engineering & Materials Science
Learning algorithms
45%
Classifiers
40%
Linear regression
31%
Computer systems
22%
Random variables
21%
Feature extraction
18%
Set theory
17%
Machine learning
13%
Approximation algorithms
11%
Anomaly detection
10%
Bayesian networks
10%
Linguistics
9%
Parameter estimation
9%
Clustering algorithms
9%
Neural networks
9%
Supervised learning
8%
Support vector machines
8%
Systems analysis
7%
Servers
7%
Websites
5%
Phase transitions
5%
Linux
5%
