This paper presents an ethnographic study, conducted to gain an insight of the practices around navigation of firefighters on the first line of intervention. We argue that the com...
Sebastian Denef, Leonardo Ramirez, Tobias Dyrks, G...
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Requirements volatility is an issue in software development life cycle which often originated from our incomplete knowledge about the domain of interest. In this paper, we propose...
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...