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Browsing Computing and Mathematical Sciences by Title
Now showing items 1-20 of 976
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(2010)On February 8-10, 2010, CAIDA hosted the second Workshop on Active Internet Measurements (AIMS-2) as part of our series of Internet Statistics and Metrics Analysis (ISMA) workshops. The goals of this workshop were to further ...
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(Elsevier, 2010)Background The genetic background may predispose systemic sclerosis (SSc) patients to the development of digital ulcers (DUs). Methods Twenty-two functional cytokine single nucleotide polymorphisms (SNPs) and 3 HLA class ...
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(2009)A novel algorithm for 3D face recognition based point cloud rotations, multiple projections, and voted keypoint matching is proposed and evaluated. The basic idea is to rotate each 3D point cloud representing an individual’s ... -
(2002)This paper is an attempt to increase the understanding in the behavior of ensembles for discrete variables in a quantitative way. A set of tight upper and lower bounds for the accuracy of an ensemble is presented for wide ... -
(1996)Using rule learning algorithms to model systems has gained considerable interest in the past. The underlying idea of active learning is to learning algorithm influence the selection of training examples. The presented ... -
(1994)Active templates are a semi-automatic visual mechanism for generating algorithms for manipulating pointer-based data structures. The programmer creates a picture showing the affected part of a data structure before and ... -
(2008)This paper introduces Adaptive Feature Thresholding (AFT) which is a novel method of person-dependent off-line signature verification. AFT enhances how a simple image feature of a signature is converted to a binary feature ... -
(1997)High quality models of English text with performance approaching that of humans is important for many applications including spelling correction, speech recognition, OCR, and encryption. A number of different statistical ... -
(Springer, Berlin, 2005)The specification matching problem in embedded systems is to determine whether an existing component may be adapted suitably to match the requirements of a new specification. Recently, a refinement called forced simulation ...
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(Elsevier B.V., 2004)Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes. Although ... -
(Springer, 2008)The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms that can be applied to this sort of problem. The ...
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(Springer Berlin, 2006)Personalized recommendations in a mobile tourist information system suffer from a number of limitations. Most pronounced is the amount of initial user information needed to build a user model. In this paper, we adopt and ...
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(2005)An advanced tourist information provider system delivers information regarding sights and events on their users' travel route. In order to give sophisticated personalized information about tourist attractions to their ... -
(2003)This paper concerns the theory of partial maps under composition and more generally, the RC-semigroups introduced by Jackson and Stokes [Semigroup Forum 62 (2001) 279–310] (semigroups with a unary operation called (right) ... -
(Springer, Berlin, 1998)An Alerting Service (AS) informs its clients about new information provided by several suppliers. Special interests of clients can be defined as profiles. In the context of digital libraries, suppliers are the providers ...
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(Association for Computing Machinery, 2009)An algorithm for the explicit evaluation of Kloosterman sums for GL(n, R) for n ≥2 and an implementation in the Mathematics package GL(n) pack are described -
(2009)In order to achieve genuine web intelligence, building some kind of large general machine-readable conceptual scheme (i.e. ontology) seems inescapable. Yet the past 20 years have shown that manual ontology-building is not ... -
(Springer, 2009)Chromatography is an important analytical technique that has widespread use in environmental applications. A typical application is the monitoring of water samples to determine if they contain petroleum. These tests are ... -
(Common Ground Publishing, 2012)Pedagogical practices in formal educational settings, together with the nature of communication technologies in a variety of digital media, mean that children will encounter screen-based learning opportunities in both ...
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(University of Waikato, Department of Computer Science, 1995)This report discusses the use of machine learning tools to examine datasets extracted from a database of dairy cows. The objective of the study was to investigate whether these machine learning tools could extract meaningful ...
Now showing items 1-20 of 976