Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
This article introduces a tool for data fitting that is based on genetic programming and especially on the grammatical evolution technique. The user needs to input a series of poi...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D...
Complete system simulation to understand the influence of architecture and operating systems on application execution has been identified to be crucial for systems design. While t...
Tao Li, Lizy Kurian John, Narayanan Vijaykrishnan,...
Java bug finders perform static analysis to find implementation mistakes that can lead to exploits and failures; Java compilers perform static analysis for optimization. If Java...