Genetic programming (GP) has emerged as a potent evolutionary methodology for autonomously designing image classifiers and extracting relevant features. Its capacity to evolve interpretable models by ...

This is a preview. Log in through your library . Abstract A classification problem is presented in which it is desired to assign a new individual or observation with k characteristics to one of two ...

American Journal of Agricultural Economics, Vol. 79, No. 4 (Nov., 1997), pp. 1352-1362 (11 pages) This paper uses resampling estimation techniques to develop a statistical mathematical programming ...

As the number of environmental small subunit (SSU) ribosomal RNA gene sequences has greatly surpassed the number of cultured microorganisms, reconciliation of the established taxonomy and ...

Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...