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Everything about Multiclass classification
Problem in machine learning and statistical classification
In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into one of three or more classes. For example, deciding on whether an image is showing a banana, peach, orange, or an apple is a multiclass classification problem, with four possible classes, while deciding on whether an image contains an apple or not is a binary classification problem. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Multiclass classificationA 5-minute orientation
- Skim a recent paper: Generalized and Discriminative Collaborative Representation for Multiclass ClassificationInfluential work since 2022
- Pick up a classic book: Gaussian processes for machine learningThe most-reprinted book on the subject
- Read the landmark paper: Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.Cited 10,634 times
- Go sideways: Multi-label classificationA closely related topic
- Go sideways: Statistical classificationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.
Extreme Learning Machine for Regression and Multiclass Classification
Scalable Active Learning for Multiclass Image Classification
Why Is Multiclass Classification Hard?
Multidimensional genetic programming for multiclass classification
Multiclass classification methods in ecology
Classification performance assessment for imbalanced multiclass data
Word-class embeddings for multiclass text classification
🆕 Influential since 2022
Generalized and Discriminative Collaborative Representation for Multiclass Classification
Multiclass Classification of Grape Diseases Using Deep Artificial Intelligence
Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification
Regularized Least Squares Twin SVM for Multiclass Classification
Multiclass Classification Performance Curve
📚 Books worth reading
Gaussian processes for machine learningCarl Edward Rasmussen · 2005
Intelligent Information and Database SystemsAli Selamat · 2013
Toward brain-computer interfacingGuido Dornhege, Thilo Hinterberger · 2007
Research and Development in Intelligent Systems XXIXMax Bramer · 2012
Linguistic structure predictionNoah A. Smith · 2011
AI 2012: Advances in Artificial IntelligenceMichael Thielscher · 2012
Binary and Multiclass ClassificationBrian Kolo · 2011- 📕Multi-Objective, Multi-Class and Multi-Label Data Classification with Class ImbalanceSanjay Chakraborty, Lopamudra Dey · 2024
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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- Classification rule Given a population whose members each belong to one of a number of different sets or classes, a classification rule or classifier is a procedure by which…
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- Confusion matrix A confusion matrix, also known as error matrix, is a specific table layout that allows visualization of the performance of a person or an algorithm on…
- One-class classification In machine learning, one-class classification (OCC), also known as unary classification or class-modelling, is an approach to the training of binary classifiers…