L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Distributed embedded systems implemented with mixed, eventtriggered and time-triggered task sets, which communicate over bus protocols consisting of both static and dynamic phases...
—In the design process of complex systems, the designer is solving an optimization problem, which involves different disciplines and where all design criteria have to be optimize...
S. V. Utyuzhnikov, Jeremy Maginot, Marin D. Guenov
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...