Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
Emerging languages are often source-to-source compiled to mainstream ones, which offer standardized, fine-tuned implementations of non-functional concerns (NFCs)—including pers...
The latest advancements in the commercial formal model checkers have enabled the integration of formal property verification with the conventional testbench based methods in the o...
Rajeev K. Ranjan, Claudionor Coelho, Sebastian Ska...
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Distributed systems such as Peer-to-Peer overlays have been shown to efficiently support the processing of range queries over large numbers of participating hosts. In such system...
Ioannis Konstantinou, Dimitrios Tsoumakos, Nectari...