Web page clustering can help in the evaluation and search of the results of search engines, among other things. The different term weighting functions applied to the selected features to represent web pages is a main aspect in clustering task. In this paper, seven different term weighting functions are evaluated by means of the results of a partitioning clustering algorithm, with a reference we...

Motivation: Information in life science publications is heterogeneously distributed over various sections. Depending on research questions, different sections cover more or less of the data needed to answer them. Our approach, called section weighting, seeks to make use of information coverage and density found in typical life science publications. We study the impact of section weighting on te...

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.

Information retrieval focuses on content-based searching in text documents. For this purpose, first text content must be represented, by using a representation language (like thesauri or classification schemes) or by performing free-text search. The latter approach uses either string-based or computer-linguistic methods (stemming, dictionary lookup, syntax analysis). For retrieval, weighting an...

The authors studied weighting adjustments for the National Comorbidity Survey (1990-1992), a large-scale national epidemiologic investigation of the prevalence, risk factors, and consequences of psychiatric morbidity and comorbidity in the United States. Weighting adjustments for differential selection within households, new construction, unit nonresponse, and poststratification were examined s...

[Purpose] The purpose of this study was to examine the relationship between the paraspinal muscle cross-sectional area and the relative proprioceptive weighting ratio during local vibratory stimulation of older persons with lumbar spondylosis in an upright position. [Subjects] In all, 74 older persons hospitalized for lumbar spondylosis were included. [Methods] We measured the relative proprioc...

We propose a method for supporting query refinement using topical term clusters. First, we propose a new term weighting method that can extract terms strongly related to a specific topic, because a document set retrieved with an ambiguous query may include divergent topics. Our formulation of term weighting is based on the statistics of term co-occurrence. Then, we generate term clusters using ...

New methods based on local spatio-temporal features have exhibited significant performance in action recognition. In these methods, feature selection plays an important role to achieve a superior performance. Actions are represented by local spatio-temporal features extracted from action videos. Action representations are then classified by applying a classifier (such as k-nearest neighbor or S...

This article addresses weighting and partitioning, in complex reinforcement learning tasks, with the aim of facilitating learning. The article presents some ideas regarding weighting of multiple agents and extends them into partitioning an input/state space into multiple regions with differential weighting in these regions, to exploit differential characteristics of regions and differential cha...