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About Artificial Intelligence and Machine Learning: T.A. Silvia Bucci
This document discusses supervised machine learning techniques using support vector machines (SVM). It covers SVM for classification and variants for other tasks like outlier detection, ranking, and clustering. For outlier detection, it describes support vector data description (SVDD) and one-class SVM, which find a boundary around normal data points to identify outliers. For ranking, it discusses using pairwise comparisons of samples to minimize inversions in the predicted ranking versus the ground truth.
Detailed Information
| Author: | ['Aamir Ali'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 78 |
| Language: | English |
| Format: | |
| Price: | FREE |
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