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Questions and Answers
Who introduced the Support Vector Machine classifier?
Who introduced the Support Vector Machine classifier?
- Vapnik and Chervonenkis (correct)
- Yann LeCun
- Geoffrey Hinton
- Andrew Ng
What is another name for Support Vector Machines (SVM)?
What is another name for Support Vector Machines (SVM)?
- Naive Bayes classifier
- Maximum margin classifier (correct)
- K-nearest neighbors classifier
- Decision tree classifier
In SVM, what does a hyperplane do?
In SVM, what does a hyperplane do?
- Fits a curve to the data
- Calculates the mean of the data
- Separates data belonging to two different classes (correct)
- Clusters the data points
When is a data set considered linearly separable in the context of SVM?
When is a data set considered linearly separable in the context of SVM?
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What is the primary characteristic of Support Vector Machines (SVM) as a classification technique?
What is the primary characteristic of Support Vector Machines (SVM) as a classification technique?
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Study Notes
Machine Learning Summer 2023 Lecture 15: Support Vector Machine Classifier
- Topic: Support Vector Machine (SVM) - Hard Margin
- Instructor: Dr. Tanmay Basu
- Scribes: Not subjected to usual scrutiny for formal publications
- Contact: [email protected] for queries/suggestions
- SVM: Useful and robust classification technique
- Also known as maximum margin classifier
- Introduced by Vapnik and Chervonenkis
- Method finds a hyperplane to separate data of two classes
- Focus of article: SVM for linearly separable data
- Definition of linearly separable data
- Example of linearly separable data with positive and negative categories
- Reference to Figure 15.1 showing linearly separable data
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