Abstract— This paper proposes a suboptimal maximum likelihood detection (MLD) algorithm for multiple-input multipleoutput (MIMO) communications. The proposed algorithm regards tr...
Abstract. The algorithm proposed by Ha and Moon [2] is a countermeasure against power analysis. The Ha-Moon algorithm has two drawbacks in that it requires an inversion and has a r...
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Abstract. We consider the design of online master algorithms for combining the predictions from a set of experts where the absolute loss of the master is to be close to the absolut...
Jacob Abernethy, John Langford, Manfred K. Warmuth
Abstract. The Hamiltonian cycle problem (HCP) is an important combinatorial problem with applications in many areas. While thorough theoretical and experimental analyses have been ...