Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Logical filtering is the process of updating a belief state (set of possible world states) after a sequence of executed actions and perceived observations. In general, it is intr...
Sensor networks are often used to perform monitoring tasks, such as animal and vehicle tracking, or the surveillance of enemy forces in military applications. In this paper we int...
Automatic classes are classes of languages for which a finite automaton can decide whether a given element is in a set given by its index. The present work studies the learnabilit...
John Case, Sanjay Jain, Yuh Shin Ong, Pavel Semukh...
This paper proposes a declarative description of user interfaces that s from low-level implementation details. In particular, the user interfaces specified in our framework are exe...