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Unlike other models that use memory-intensive applications like gradient descent to train their neural networks, [Jean Michel Sellier] is using a genetic algorithm to work within the confines of ...
Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision Trees, Genetic Algorithms, Neural Networks.
On a more basic level, [Gigante] did just that, teaching a neural network to play a basic driving game with a genetic algorithm. The game consists of a basic top-down 2D driving game.
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PHILADELPHIA.Today on MSNWistar Institute Recruits Computational Biologist Simon Chu, Ph.D., as Caspar Wistar Fellow in the Caplan Cancer Center
The Wistar Institute, an international biomedical research leader in cancer, immunology and infectious disease, has announced ...
Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.
This study proposes a relatively simple computational model of organizational evolution based on the genetic algorithm. The model includes three organizational processes: variation, adaptation, and ...
BOSTON — A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial hypercholesterolemia, according to a new study. Spencer V. Carter ...
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