It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Consider the following game between a worm and an alert3 over a network of n nodes. Initially, no nodes are infected or alerted and each node in the network is a special detector n...
Packet classification continues to be an important challenge in network processing. It requires matching each packet against a database of rules and forwarding the packet accordi...