Many valuable text databases on the web have noncrawlable contents that are “hidden” behind search interfaces. Metasearchers are helpful tools for searching over multiple such “hidden-web” text databases at once through a unified query interface. An important step in the metasearching process is database selection, or determining whch databases are the most relevant for a given user query. Our ...

To effectively sort and present relevant information pieces (e.g., answers, passages, documents) to human users, information systems rely on ranking models. Existing ranking models are typically designed for a specific task and therefore are not effective for complex information systems that require component changes or domain adaptations. For example, in the final stage of question answering, ...

State of the art objective measures for quantifying voice quality mostly consider estimation of features extracted from the magnitude spectrum. Assuming that speech is obtained by exciting a minimum-phase (vocal tract filter) and a maximum-phase component (glottal source), the amplitude spectrum cannot capture the maximum phase characteristics. Since voice quality is connected to the glottal so...

BACKGROUND In prognosis and therapeutics of adrenal cortical carcinoma (ACC), the selection of the most active areas in proliferative rate (hotspots) within a slide and objective quantification of immunohistochemical Ki67 Labelling Index (LI) are of critical importance. In addition to intratumoral heterogeneity in proliferative rate i.e. levels of Ki67 expression within a given ACC, lack of uni...

This research is part of the ongoing study to better understand web page ranking on the web. It looks at a web page as a graph structure or a web graph, and tries to classify different web graphs in the new coordinate space: (out-degree, in-degree). The out-degree coordinate od is defined as the number of outgoing web pages from a given web page. The in-degree id coordinate is the number of web...

This paper presents a novel source-biased approach to automatically discover and rank relevant data intensive web services. It supports a service-centric view of the Web through source-biased probing and source-biased relevance detection and ranking metrics. Concretely, our approach is capable of answering source-centric queries by focusing on the nature and degree of the topical relevance of o...

‎The purpose of this paper is to offer the equitable method for ranking Decision Making Units(DMUs) based on the Dynamic Data Envelopment Analysis (DDEA) concept, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive periods. In fact, this paper originally makes the use of an approach extending the ranking of DMUs in DEA by Khodabakhsh...

the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

Maintaining a large software system is an inherently difficult task that often involves locating and comprehending system features prior to performing the actual maintenance task at hand. Feature location techniques were introduced to locate the source code components implementing specific software features. Common to these approaches is that they rely either on exercising several features of a...