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6.1 Classifiers

We assume that LR has seen enough discussion in the preceding chapters, and use this space to briefly describe the SVM, KNN and BC classifiers. However, we will take a moment to refresh our memory of the time complexity of our LR implementations. We made the claim that LR-CGEPS and LR-CGDEVEPS have time complexity O$ \left( m \right)$ where $ m$ is the number of nonzero entries in the matrix $ X$ in Section 5.1.2. CG-MLE has the same time complexity as CG, which is again O$ \left( m \right)$. We will use LR to refer to the three LR implementations collectively.



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Next: 6.1.1 SVM Up: 6. Characterizing Logistic Regression Previous: 6. Characterizing Logistic Regression   Contents
Copyright 2004 Paul Komarek, komarek@cmu.edu