The complexity exhibited by pervasive systems is constantly increasing. Customer electronics devices provide day to day a larger amount of functionalities. A common approach for g...
Arnaud Lagger, Andres Upegui, Eduardo Sanchez, Iva...
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
The increased use of virtual machines in the enterprise environment presents an interesting new set of challenges for the administrators of today's information systems. In ad...
Mark A. Smith, Jan Pieper, Daniel Gruhl, Lucas Vil...
We introduce a general method to count and randomly sample unlabeled combinatorial structures. The approach is based on pointing unlabeled structures in an “unbiased” way, i.e...
We show that Kolmogorov complexity and such its estimators as universal codes (or data compression methods) can be applied for hypothesis testing in a framework of classical mathe...