classification

What are advantages of Artificial Neural Networks over Support Vector Machines? [closed]

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Judging from the examples you provide, I’m assuming that by ANNs, you mean multilayer feed-forward networks (FF nets for short), such as multilayer perceptrons, because those are in direct competition with SVMs. One specific benefit that these models have over SVMs is that their size is fixed: they are parametric models, while SVMs are non-parametric. … Read more

A simple explanation of Naive Bayes Classification [closed]

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The accepted answer has many elements of k-NN (k-nearest neighbors), a different algorithm. Both k-NN and NaiveBayes are classification algorithms. Conceptually, k-NN uses the idea of “nearness” to classify new entities. In k-NN ‘nearness’ is modeled with ideas such as Euclidean Distance or Cosine Distance. By contrast, in NaiveBayes, the concept of ‘probability’ is used … Read more