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Everything about Linear classifier
Statistical classification in machine learning
In machine learning, a linear classifier makes a classification decision for each object based on a linear combination of its features. A simpler definition is to say that a linear classifier is one whose decision boundaries are linear. Such classifiers work well for practical problems such as document classification, and more generally for problems with many variables (features), reaching accuracy levels comparable to non-linear classifiers while taking less time to train and use. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Linear classifierA 5-minute orientation
- Skim a recent paper: Improving DOA Estimation via an Optimal Deep Residual Neural Network Classifier on Uniform Linear ArraysInfluential work since 2022
- Pick up a classic book: An Optimization Approach to Workforce Planning for the Information Technology FieldThe most-reprinted book on the subject
- Read the landmark paper: On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance PropagationCited 3,816 times
- Go sideways: Discriminative modelA closely related topic
- Go sideways: Supervised learningA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Linear vs. quadratic discriminant analysis classifier: a tutorial
Classifier Ensembles with a Random Linear Oracle
Pattern Classifier Design by Linear Programming
A spatially localized DNA linear classifier for cancer diagnosis
Segmentation of Fingerprint Images Using Linear Classifier
Linear Maximum Margin Classifier for Learning from Uncertain Data
Linear Dependency Modeling for Classifier Fusion and Feature Combination
🆕 Influential since 2022
Improving DOA Estimation via an Optimal Deep Residual Neural Network Classifier on Uniform Linear Arrays
Linear Ordering Problem based Classifier Chain using Genetic Algorithm for multi-label classification
FPGA implementation of breast cancer detection using SVM linear classifier
A hybrid learning framework for multi-modal facial prediction and recognition using improvised non-linear SVM classifier
Implementation of a machine learning algorithm for automated thematic annotations in avatar: A linear support vector classifier approach
📚 Books worth reading
An Optimization Approach to Workforce Planning for the Information Technology FieldJohn A. Ausink · 2002- 📕Metastability and Markov state models in molecular dynamicsChristof Schütte · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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- Linear discriminant analysis Linear discriminant analysis (LDA), normal discriminant analysis (NDA), canonical variates analysis (CVA), or discriminant function analysis is a generalization…
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