Back in the late 1980s, neural networks were hot; and evaluations usually indicated that they outperformed other methods of classification. In the early 1990s, genetic algorithms were hot; and evaluations usually indicated that they outperformed other methods of classification. Today, support vector machines (SVMs) are hot; and evaluations usually indicate that they outperform other methods of classifications. Neural networks and genetic algorithms no longer outperform older methods. (I write this from memory, so you shouldn’t take it as gospel.)
If this is true, the implications are beyond my current comprehension. Anyone know where I can find papers suggesting that such a phenomenon exists in statistical classification techniques?
If this is true, the implications are beyond my current comprehension. Anyone know where I can find papers suggesting that such a phenomenon exists in statistical classification techniques?