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Abstract-- Information theory provides a novel perspective on passive sonar performance analysis. This approach begins by partitioning the search space and then considers the probl...
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Abstract. We present randomized approximation algorithms for multicriteria Max-TSP. For Max-STSP with k > 1 objective functions, we obtain an approximation ratio of 1 k - for a...
We study the problem of finding the minimum size DNF formula for a function f : {0, 1}d → {0, 1} given its truth table. We show that unless NP ⊆ DTIME(npoly(log n) ), there i...