In this paper we present the application of an evolution strategy to the problem of detecting multi-planet transit events in photometric time-data series. Planetary transits occur...
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
With the advent of the Web, search has become the prominent paradigm for information seeking, not only across the online space but also within enterprises. Search engine functiona...
Alessandro Bozzon, Marco Brambilla, Piero Fraterna...
This paper describes a reduction technique which is very useful against the state explosion problem which occurs when model checking many distributed systems. Timestamps are often ...
Fabrice Derepas, Paul Gastin, David Plainfoss&eacu...
Abstract. We consider the sequence comparison problem, also known as “hidden pattern” problem, where one searches for a given subsequence in a text (rather than a string unders...
Philippe Flajolet, Yves Guivarc'h, Wojciech Szpank...