of a dissertation at the University of Miami. Dissertation supervised by Professor Mei-Ling Shyu. No. of pages in text. (153) The development in information science has enabled an explosive growth of ...
by broad-scale models, then stacking independent species distribution models to predict species assemblages (sensu Guisan and Rahbek 2011, Calabrese et al. 2014) will provide misleading predictions of...
Within the scope of this article we went further into the question to what extent particularistic attributes - social origin and gender - can affect selection processes (1) in access to and (2) in lat...
With the extensive use of smart devices and blooming popularity of social media websites such as Flickr, YouTube, Twitter, and Facebook, we have witnessed an explosion of multimedia data. The amount o...
William Kruskal (Bill) was a distinguished statistician who spent virtually his entire professional career at the University of Chicago, and who had a lasting impact on the Institute of Mathematical S...
We show that, when the three-way association level among the three binary variables, X, U 1 and U 2 is fixed, D P e pr(X e 1¦U 1 e 1) - pr(X e 1¦U 1 e 0) increases as the cross-product ratio of U 1 an...
We propose Fuzzy UTASTAR, a method for inferring fuzzy utility functions from a partial preorder of options evaluated on multiple criteria. It is an extension of the well-known UTASTAR method capable ...
We present approaches to estimate content-aware bibliometrics to quantitatively measure the scholarly impact of a publication. Traditional measures to assess quality-related aspects such as citation c...
We present an NLG system that uses Integer Linear Programming to integrate different decisions involved in the generation process. Our approach provides an alternative to pipeline-based sequential pro...
We present a discrete optimization model based on a linear programming formulation as an alternative to the cascade of classifiers implemented in many language processing systems. Since NLP tasks are ...
We examined relations of the 10 types of values in Schwartz's (1992) theory of voting. Hypotheses were generated by relating the core motivations of each value type to the ideological messages conveye...
We examine the issue of how to measure the degree to which a functional dependency (FD) is approximate. The primary motivation lies in the fact that approximate FDs represent potentially interesting p...
We consider properties of the ordinal measure of association defined by the ratio of the proportions of concordant and discordant pairs. For 2 x 2 cross-classification tables, the measure simplifies t...
Virtually all AHP studies reported in the literature entail paired comparison ratio judgments from respondents. This paper considers situations where respondents can only supply ordinal judgments with...
To determine the relation between breast self‐examination and survival of breast cancer patients, the authors studied 1004 newly diagnosed invasive breast cancer patients in Vermont general hospitals ...
This paper is concerned with the goodness-of-fit of induced decision trees. Namely, we explore the possibility to measure the goodness-of-fit as it is classically done in statistical modeling. We show...
This paper introduces a wavelet transformation and a cluster ensemble framework using graph theory for clustering gene expression data sets. The experiment results indicate that wavelet transformation...
This paper formulates the problem encountered in the first stage of two-stage, binary template matching as a set of hypotheses to be tested, including a hypothesis of ``no object.'' Two new statistics...
This paper discusses the general problem of measuring the association between an independent nominal-scaled variableX and a dependent variableY whose scale of measurement may be interval, ordinal or n...
This paper describes a technique for the rigorous analysis of probabilistic measures of association derived from contingency tables. The technique uses the approach to contingency table analysis first...