Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Abstract. End System Multicasting (ESM) is fast becoming a feasible alternative to IP multicasting. ESM approaches can be broadly classified into two main categories: (i) Tree firs...
Applying statistical parsers developed for English to languages with freer wordorder has turned out to be harder than expected. This paper investigates the adequacy of different s...
In the paper we present a dynamic model of knowledge. The model is inspired by public announcement logic and an approach to a puzzle concerning knowledge and communication using th...
Pawel Garbacz, Piotr Kulicki, Marek Lechniak, Robe...