Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Imagine many small devices send data to a single receiver, encrypted using the receiver’s public key. Assume an adversary that has the power to adaptively corrupt a subset of the...
Serge Fehr, Dennis Hofheinz, Eike Kiltz, Hoeteck W...
Background: Thermophilic organisms are able to live at high temperatures ranging from 50 to > 100°C. Their proteins must be sufficiently stable to function under these extreme...
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...