This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
— The problem of efficient data structures for IP lookups has been well studied in literature. Techniques such as LC tries and Extensible Hashing are commonly used. In this pape...
Ioannis Ioannidis, Ananth Grama, Mikhail J. Atalla...
We give an efficient protocol for sequence comparisons of the edit-distance kind, such that neither party reveals anything about their private sequence to the other party (other t...
Mikhail J. Atallah, Florian Kerschbaum, Wenliang D...
The Generalized Second Price (GSP) auction is the primary method by which sponsered search advertisements are sold. We study the performance of this auction in the Bayesian settin...
In this paper we derive aggregate separation bounds, named after Davenport-MahlerMignotte (DMM), on the isolated roots of polynomial systems, specifically on the minimum distance ...
Ioannis Z. Emiris, Bernard Mourrain, Elias P. Tsig...