Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Model-Driven Engineering (MDE) has been advocated as an effective way to deal with today's software complexity. MDE can be seen as an integrative approach combining existing ...
The Java Modeling Language (JML) is a behavioral interface specification language (BISL) designed for Java. It was developed to improve functional software correctness of Java app...
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...