Concepedia

Statistical Learning Theory

Statistical Learning Theory is a branch of mathematical statistics and machine learning that provides a formal framework for analyzing the generalization ability of learning algorithms by characterizing the conditions under which models can achieve low prediction error on unseen data.

3.1K

Publications

376.9K

Citations

7.1K

Authors

2K

Institutions

Publications per year

2017–2026

1.1K

Variants

Slt

Parents

Publications

3.1K

Statistical Learning Theory

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

, , +12

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Yoav Freund, Robert E. Schapire · Journal of Computer and System Sciences · 1997 · 20.3K citations

, , +14

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Stephen Boyd · Foundations and Trends® in Machine Learning · 2011 · 16K citations

, , +13

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Zigang Lu · Journal of the Royal Statistical Society Series A (Statistics in Society) · 2010 · 12.8K citations

, , +12

Statistical Comparisons of Classifiers over Multiple Data Sets

Janez Demšar · 2006 · 11.2K citations

, , +17

1–5 of 3.1K

Authors

7.1K

  1. RΝ
    Richard Ν. Aslin

    University of Rochester, United States

    23 publications · 13.7K citations

    22

    h-index

  2. MH
    Morten H. Christiansen

    Cornell University, United States

    20 publications · 2.2K citations

    18

    h-index

  3. JR
    Jenny R. Saffran

    University of Wisconsin–Madison, United States

    18 publications · 11.2K citations

    18

    h-index

  4. NB
    Nicholas B. Turk‐Browne

    Yale University, United States

    18 publications · 3.9K citations

    16

    h-index

  5. EL
    Elissa L. Newport

    University of Rochester, United States

    15 publications · 10.8K citations

    15

    h-index

1–5 of 7.1K

Institutions

2K

  1. Carnegie Mellon University

    Pittsburgh, United States

    39 h-index

    126 publications

    17.7K citations

  2. Stanford University

    Stanford, United States

    37 h-index

    118 publications

    76.2K citations

  3. University of California, Berkeley

    Berkeley, United States

    35 h-index

    123 publications

    23.5K citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    31 h-index

    94 publications

    11.6K citations

  5. Cornell University

    Ithaca, United States

    31 h-index

    79 publications

    10.3K citations

  6. Hebrew University of Jerusalem

    Jerusalem, Israel

    29 h-index

    70 publications

    7.3K citations

  7. Princeton University

    Princeton, United States

    26 h-index

    83 publications

    10.9K citations

  8. University of Rochester

    Rochester, United States

    26 h-index

    56 publications

    36.1K citations

1–8 of 2K

Venues

  1. arXiv (Cornell University)

    Repository · 185 publications · 14.5K citations

    45

    h-index

  2. IEEE Transactions on Neural Networks

    32 publications · 11K citations

    25

    h-index

  3. Neural Computation

    39 publications · 3.6K citations

    25

    h-index

  4. Technometrics

    30 publications · 16.7K citations

    23

    h-index

  5. IEEE Transactions on Information Theory

    32 publications · 5.7K citations

    22

    h-index

1–5