Efficient multi-dimensional data search has received much attention in centralized systems. However, its implementation in large-scale distributed systems is not a trivial job and...
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
This paper describes the participation of DAEDALUS team at the WebPS-3 Task 1, regarding Web People Search. The focus of our research is to evaluate and compare the computational r...