We introduce a natural generalization of submodular set cover and exact active learning with a finite hypothesis class (query learning). We call this new problem interactive submo...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
The computational cost of a collision detection (CD) algorithm on polygonal surfaces depends highly on the complexity of the models. A novel “locally refined” approach is intr...
Peiran Liu, Xiaojun Shen, Nicolas D. Georganas, Ge...
A configuration process is about finding a configuration, a setting, that satisfies the requirements given by the user and constraints imposed by the domain. Feature models are us...
Traditional programming languages are algorithmic: they are best suited to writing programs that acquire all their inputs before executing and only produce a result on termination...