Over the last decade the cost of producing genomic sequences has dropped dramatically due to the current so called “next-gen” sequencing methods. However, these next-gen seque...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Although cryptographic algorithms are designed to resist at least thousands of years of cryptoanalysis, implementing them with either software or hardware usually leaks additional...
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...