Evolutionary Algorithms to Augment Other Modeling Methods

Model generation generally requires two components: a model representation and a search algorithm to search through it. Evolutionary algorithms, as general-purpose search algorithms, may be used for the latter, even within learning methods that are not intrinsically evolutionary. They are most widely used in neural networks, to learn both the weights, and the architectures, of the networks. However, they have also been applied to learning decision trees, learning kernel functions for support vector machines (see Support Vector Machines), and evolving functional dependency networks. They are heavily used in ensemble methods, in which a number of models are built in parallel, then used jointly in prediction.

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10 Ways To Fight Off Cancer

10 Ways To Fight Off Cancer

Learning About 10 Ways Fight Off Cancer Can Have Amazing Benefits For Your Life The Best Tips On How To Keep This Killer At Bay Discovering that you or a loved one has cancer can be utterly terrifying. All the same, once you comprehend the causes of cancer and learn how to reverse those causes, you or your loved one may have more than a fighting chance of beating out cancer.

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