Distributed systems are becoming a popular way of implementing many embedded computing applications, automotive control being a common and important example. Such embedded systems...
A typical approach to software maintenance is analyzing just the source code, applying some patches, releasing the new version, and then updating the documentation. This quick-fix...
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshu...
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
As computing systems continue to grow in size and complexity, the need for self-management is becoming more prevalent. The difficulty and cost associated with the maintenance of l...
Armando Barreto, Ben Wongsaroj, Tariq M. King, Tua...