Context Tree Weighting is a powerful probabilistic sequence prediction technique that efficiently performs Bayesian model averaging over the class of all prediction suffix trees of bounded depth. In this paper we show how to generalize this technique to the class of K-skip prediction suffix trees. Contrary to regular prediction suffix trees,K-skip prediction suffix trees are permitted to ignore...

One can adapt the context tree weighting method in such a way, that it will find the minimum description length model (MDL-model) that corresponds to the data. In this paper this new algorithm, the context tree maximizing algorithm, and a few modifications of the algorithm will be studied, in particular, its performance if we apply it for data compression.

This study proposed multipath architecture for a dynamic (DP) programming approach to solve the problem of the uncertain starting points in dynamic programming. The starting points of those paths are selected from the local maximum of onset detection function and beginning interval of excerpts. We also utilize the tempi of tempo estimation to give the guidance of the beat tracking. Index Terms ...

Weare pleased to present this special issue ofDiscrete AppliedMathematics, which is devoted to the 12th Cologne-Twente Workshop on Graphs and Combinatorial Optimization (CTW 2013), held at the University of Twente, Enschede, The Netherlands, between May 21 and May 23, 2013. More than 80 scientists from all over the world attended the workshop, and we take this opportunity to thank all CTW 2013 ...

The height assignment of atmospheric motion vectors (AMV) is still an open issue. From the numerous height assignment techniques, each retrieval method has its own characteristics. The presented stereophotogrammetric method has the advantage that it is only dependent on the geometry and therefore offers a completely independent height retrieval compared to the other methods. As polar-orbiting i...

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Received Apr 27, 2017 Revised Sep 8, 2017 Accepted Sep 27, 2017 One of the most common issue in information retrieval is documents ranking. Documents ranking system collects search terms from the user and orderly retrieves documents based on the relevance. Vector space models based on TF.IDF term weighting is the most common method for this topic. In this study, we are concerned with the study ...

IRRA (IR-Ra) group participated in the 2010 Web track. In this year, the major concern is to examine the effect of supplementary methods on the effectiveness of the new nonparametric index term weighting model, divergence from independence (DFI). Every written text document contains words, but the words used in individual documents may differ due to many divergent (latent) factors, such as topi...

Nowadays, the fibre diameter (FD) is considered the main selection objective in alpaca populations all over the world. International Committee for Animal Recording recommendations define the FD and its CV as the first two traits to be considered in breeding programmes for this specie. In addition to these main criteria, other selection criteria of economic value used are comfort factor (CF) or ...