This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classi...
Sergey Feldman, Marius A. Marin, Mari Ostendorf, M...
In this paper we study the unrelated parallel machines problem where n independent jobs must be assigned to one out of m parallel machines and the processing time of each job di...
EVITA, standing for Evolutionary Inventory and Transportation Algorithm, aims to be a commercial tool to address the problem of minimising both the transport and inventory costs o...
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...