There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Background: To understand the evolutionary role of Lateral Gene Transfer (LGT), accurate methods are needed to identify transferred genes and infer their timing of acquisition. Ph...
Sophie S. Abby, Eric Tannier, Manolo Gouy, Vincent...
We describe work in progress on tools and infrastructure to support adaptive component-based software for mobile devices— in our case, Apple iPhones. Our high level aim is ‘de...
Malcolm Hall, Marek Bell, Alistair Morrison, Stuar...
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...