Statistical Learning

Statistical learning is a machine learning framework that uses formal statistical methods and assumptions to model the functional relationship between input variables and output responses, enabling both prediction and statistical inference.

29.7K

Publications

Citations

66.8K

Authors

8.7K

Institutions

Publications per year

2017–2026

13.5K

Parents

Data Science

Children

Active LearningBayesian LearningBias-variance TradeoffClassificationDecision TreesDimensionality ReductionEnsemble LearningFeature SelectionGeneralized Linear ModelsKernel Methods

Publications

29.7K

R: A Language and Environment for Statistical Computing

R Core Team · 2000 · 353K citations · Full text

Natural Sciences, Computer Science, Statistical Computing +10

LIBSVM

Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.3K citations

Computing, Computer Science, Machine Learning +12

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text

Computing, Computer Science, Data Science +12

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text

Computing, Computer Science, Mathematics +17

Statistical Learning Theory

Yuhai Wu, Vladimir Vapnik · Technometrics · 1999 · 27K citations

Computing, Computer Science, Machine Learning +12

1–5 of 29.7K

Authors

66.8K

YB
Yoshua Bengio
Université de Montréal, Canada
60 publications · 10.3K citations
40
h-index
TH
Trevor Hastie
Stanford University, United States
47 publications · 58.7K citations
40
h-index
BS
Bernhard Schölkopf
Max Planck Institute for Intelligent Systems, Germany
57 publications · 36.1K citations
39
h-index
MS
Masashi Sugiyama
Tokyo Institute of Technology, Japan
94 publications · 6.2K citations
39
h-index
JA
Johan A. K. Suykens
KU Leuven, Belgium
64 publications · 5.1K citations
38
h-index

1–5 of 66.8K

Institutions

8.7K

1–8 of 8.7K

Venues

arXiv (Cornell University)
Repository · 2.1K publications · 134.2K citations
155
h-index
Journal of the American Statistical Association
275 publications · 65.3K citations
104
h-index
The Annals of Statistics
200 publications · 91.4K citations
91
h-index
IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 284 publications · 47.5K citations
91
h-index
IEEE Transactions on Neural Networks
227 publications · 40.3K citations
86
h-index

1–5

See also Statistical Learning
Core Methods	Classification Supervised Learning Deep Learning Unsupervised Learning Bayesian Inference Regression Support Vector Machines Neural Networks Semi-supervised Learning Anomaly Detection Ensemble Methods Decision Trees Dimensionality Reduction Principal Component Analysis Autoencoders Reinforcement Learning Kernel Methods Regularization Clustering Multidimensional Scaling Linear Discriminant Analysis K-means Clustering Hierarchical Clustering
Theoretical Foundations	Bias Information Theory Bayesian Learning Model Capacity Estimation Error Overfitting Minimum Description Length
Evaluation	Statistical Conclusion Validity Measurement Uncertainty Model Selection Cross-validation Data Leakage Area Under The Receiver Operating Characteristic Curve Residual Analysis Root Mean Squared Error Analysis Mean Absolute Error
Applications	Epidemiology Decision Support Systems Early Fault Detection Brain Tumors Molecular Medicine Cancer Diagnosis Critical Care Respiratory Therapy Pulmonary Nodule Diagnosis Sepsis Phenotypes