Modern computational science applications are becoming increasingly multi-disciplinaty involving widely distributed research teams and their underlying computational platforms. A ...
Hasan Abbasi, Matthew Wolf, Karsten Schwan, Greg E...
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
A challenge for many online production communities is to direct their members to accomplish tasks that are important to the group, even when these tasks may not match individual m...
This paper describes results from a series of experimental studies to explore issues related to structuring productive group dynamics for collaborative learning using an adaptive ...