We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
We address the problem of estimating the remaining energy of a node battery in wireless sensor networks. To solve this issue, we provide an on-line battery model that requires lim...
We define pseudorandom generators for Yao's twoparty communication complexity model and exhibit a simple construction, based on expanders, for it. We then use a recursive com...
The discrete logarithm problem (DLP) generalizes to the constrained DLP, where the secret exponent x belongs to a set known to the attacker. The complexity of generic algorithms f...