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.

Worm Farming

Worm Farming

Do You Want To Learn More About Green Living That Can Save You Money? Discover How To Create A Worm Farm From Scratch! Recycling has caught on with a more people as the years go by. Well, now theres another way to recycle that may seem unconventional at first, but it can save you money down the road.

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