[Willem]

Hi, are there any guidelines to decide when to use a neural network in stead of a SVM? I guess neural networks are better for regression problems, but how about classification? I read somewhere on this forum that logistic regression can sometimes perform better than SVMs when the underlying problem is intrinsically probabilistic. Are there similar rules of thumb for when using neural networks? Or do SVMs generally perform better (or similar)? It would be nice to have some guidelines of when to try which model first (and why). Thanks!