Mathematics
Learning
100%
Compression
67%
Metric space
45%
Margin
39%
Markov chain
35%
Classifier
33%
Lower bound
27%
Bayes
27%
Strings
27%
Metric
26%
Generalization
25%
Language Acquisition
22%
Learnability
21%
Concentration Inequalities
20%
Minimax
20%
Martingale Method
20%
Class
18%
Concentration of Measure
18%
kernel
18%
Regression
17%
Boosting
17%
Regular Languages
16%
Dimensionality Reduction
16%
Doubling
16%
Mixing Time
16%
Multi-class
16%
Separability
15%
Chain
15%
Statistical Estimation
15%
Language
15%
Shuffle
15%
Unknown
14%
Anomaly
14%
Model
14%
Learning Algorithm
14%
Conditional probability
13%
Excess
13%
Reconciliation
12%
Dependent Random Variables
12%
Framework
12%
Machine Learning
12%
Efficient Algorithms
11%
Estimator
11%
Optimality
11%
Logarithmic
11%
Testing
11%
Naive Bayes Classifier
11%
Binary Classification
10%
Nearest Neighbor
10%
N-gram
10%
Engineering & Materials Science
Classifiers
47%
Formal languages
36%
Markov chains
34%
Labels
33%
Learning algorithms
30%
Supervised learning
27%
Polynomials
23%
Hilbert spaces
21%
Entropy
16%
Set theory
15%
Oils and fats
15%
Genetic engineering
15%
Dimensionality reduction
13%
Finite automata
13%
Anomaly detection
13%
Support vector machines
10%
Advanced Analytics
10%
Hardness
10%
Linear regression
9%
Cryptography
9%
Linguistics
9%
Testing
8%
Problem-Based Learning
7%
Costs
7%
Decision trees
6%
Transducers
6%
Security of data
6%
Principal component analysis
6%
Convex optimization
5%
Statistical methods
5%
Signal processing
5%
