In this paper, we propose a distributed clustering algorithm for a multi-hop packet radio network. These types of networks, also known as ad hoc networks, are dynamic in nature due...
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
The process of coalition formation, where distinct autonomous agents come together to act as a coherent group is an important form of interaction in multiagent systems. Previous w...
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...