In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Abstract. Cooperative, autonomous and distributed properties of multiagent systems deduce the dynamic capabilities of multi-agent system applications. On the other hand, these suit...
Ibrahim Cakirlar, Erdem Eser Ekinci, Oguz Dikenell...
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
A situated approach to Markovian image segmentation is proposed based on a distributed, decentralized and cooperative strategy for model estimation. According to this approach, th...
This paper presents a cooperative decentralized path-planning algorithm for a group of autonomous agents that provides guaranteed collisionfree trajectories in real-time. The algo...