Everything about Support vector machine

🧭 Start here: a 6-step reading path

1. Read the overview: Support vector machineA 5-minute orientation
2. Skim a recent paper: A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learningInfluential work since 2022
3. Pick up a classic book: Support vector machines and their application in chemistry and biotechnologyThe most-reprinted book on the subject
4. Read the landmark paper: A Tutorial on Support Vector Machines for Pattern RecognitionCited 12,189 times
5. Go sideways: Least-squares support vector machineA closely related topic
6. Go sideways: Kernel methodA closely related topic

🏆 Landmark papers (most cited)

• A Tutorial on Support Vector Machines for Pattern Recognition

  Christopher J.C. Burges · 1998 · Data Mining and Knowledge Discovery · 12,189 citations

• Gene Selection for Cancer Classification using Support Vector Machines

  Isabelle Guyon, Jason Weston, Stephen Barnhill · 2002 · Machine Learning · 8,552 citations

• Least Squares Support Vector Machine Classifiers

  J.A.K. Suykens, J. Vandewalle · 1999 · Neural Processing Letters · 8,333 citations

• Support vector machines

  M.A. Hearst, S.T. Dumais, E. Osuna · 1998 · IEEE Intelligent Systems and their Applications · 5,703 citations

• A comparison of methods for multiclass support vector machines

  Chih-Wei Hsu, Chih-Jen Lin · 2002 · IEEE Transactions on Neural Networks · 5,091 citations

• Classification of hyperspectral remote sensing images with support vector machines

  F. Melgani, L. Bruzzone · 2004 · IEEE Transactions on Geoscience and Remote Sensing · 4,043 citations

• What is a support vector machine?

  William S Noble · 2006 · Nature Biotechnology · 3,916 citations

🆕 Influential since 2022

• A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

  Malti Bansal, Apoorva Goyal, Apoorva Choudhary · 2022 · Decision Analytics Journal · 647 citations

• Quantum-Inspired Support Vector Machine

  Chen Ding, Tian-Yi Bao, He-Liang Huang · 2022 · IEEE Transactions on Neural Networks and Learning Systems · 154 citations

• Quantum machine learning for support vector machine classification

  S. S. Kavitha, Narasimha Kaulgud · 2022 · Evolutionary Intelligence · 85 citations

• Quantum support vector machine without iteration

  Rui Zhang, Jian Wang, Nan Jiang · 2023 · Information Sciences · 42 citations

• Incremental learning for transductive support vector machine

  Haiyan Chen, Ying Yu, Yizhen Jia · 2023 · Pattern Recognition · 31 citations

📚 Books worth reading

• 📕Support vector machines and their application in chemistry and biotechnologyYizeng Liang · 2011
• Learning and Soft ComputingVojislav Kecman · 2001
• Adaptive and natural computing algorithmsInternational Conference on Artificial Neural Networks and Genetic Algorithms (2007 Warsaw, Poland) · 2007
• Introduction to semi-supervised learningXiaojin Zhu, Andrew Goldberg · 2008
• Support vector machinesIngo Steinwart · 2008
• Support Vector Machines ApplicationsYunqian Ma, Guodong Guo · 2014
• Support Vector MachinesLipo Wang · 2005
• Rule extraction from support vector machinesJoachim Diederich · 2008

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics

• Least-squares support vector machine Least-squares support-vector machines (LS-SVM) for statistics and in statistical modeling, are least-squares versions of support-vector machines (SVM)…
• Kernel method In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These…
• Sequential minimal optimization Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support-vector…
• Linear classifier In machine learning, a linear classifier makes a classification decision for each object based on a linear combination of its features. A simpler definition…
• Regularization perspectives on support vector machines Within mathematical analysis, regularization perspectives on support-vector machines provide a way of interpreting support-vector machines (SVMs) in the…
• Kernel perceptron In machine learning, the kernel perceptron is a variant of the popular perceptron learning algorithm that can learn kernel machines, i.e. non-linear classifiers…
• Structured support vector machine The structured supportvector machine is a machine learning algorithm that generalizes the support vector machine (SVM) classifier. Whereas the SVM classifier…
• Multiple kernel learning Multiple kernel learning refers to a set of machine learning methods that use a predefined set of kernels and learn an optimal linear or non-linear combination…