We consider PAC-learning where the distribution is known to the student. The problem addressed here is characterizing when learnability with respect to distribution D1 implies lea...
— Distributed space-time coding (STC) gives rise to nonidentical channels between different transmit and receive antennas, which are not co-located. Therefore, the performance an...
The paper presents Spatial Distributions Server – an analytical tool aimed at efficient creation, storing and analyzing of spatial distributions. Methods of approximation of spat...
We propose a distribution-based pruning of n-gram backoff language models. Instead of the conventional approach of pruning n-grams that are infrequent in training data, we prune n...
We present a semi-parametric method for testing mixing distributions in the mixed Poisson model. The proposed method, which is based on the generalized method of moments, does not...