We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
We discuss an intrinsic generalization of the suffix tree, designed to index a string of length n which has a natural partitioning into m multicharacter substrings or words. This ...
Odometers or “adding machines” are usually introduced in the context of positional numeration systems built on a strictly increasing sequence of integers. We generalize this no...
Abstract. We consider the train delivery problem which is a generalization of the bin packing problem and is equivalent to a one dimensional version of the vehicle routing problem ...