On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
Andrew Y. Ng, Michael I. Jordan
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Citation edge evidence
- Learning Deep Architectures for AI→On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai…Legacy edge — source detail unavailable
- Semi-Supervised Learning→On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai…Legacy edge — source detail unavailable
- Why Does Unsupervised Pre-training Help Deep Learning?→On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai…Legacy edge — source detail unavailable
- Review of Deep Learning Algorithms and Architectures→On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai…Legacy edge — source detail unavailable
- On Discriminative vs. Generative Classifiers: A comparison of logistic regression and nai…→Statistical Learning TheoryLegacy edge — source detail unavailable
- Semi-Supervised Learning→Statistical Learning TheoryLegacy edge — source detail unavailable
- Why Does Unsupervised Pre-training Help Deep Learning?→Semi-Supervised LearningLegacy edge — source detail unavailable
- Why Does Unsupervised Pre-training Help Deep Learning?→Learning Deep Architectures for AILegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Statistical Learning Theory | 1999 | 26,957 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Learning Deep Architectures for AI | 2009 | 5,077 |
| Semi-Supervised Learning | 2006 | 4,334 |
| Why Does Unsupervised Pre-training Help Deep Learning? | 2010 | 2,114 |
| Review of Deep Learning Algorithms and Architectures | 2019 | 1,878 |
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Topics
| Neural Networks and Applications | Computer Science |
| Machine Learning and Algorithms | Computer Science |
| Evolutionary Algorithms and Applications | Computer Science |
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