Results 1 - 9 of 9

Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy

by Boris Mirkin, Susana Nascimento, Trevor Fenner, Luís Moniz Pereira
"... Abstract — We present a method for mapping a structure to a related taxonomy in a thematically consistent way. The components of the structure are supplied with fuzzy profiles over the taxonomy. These are then generalized in two steps: first, by fuzzy clustering, and then by mapping the clusters to ..."
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Abstract — We present a method for mapping a structure to a related taxonomy in a thematically consistent way. The components of the structure are supplied with fuzzy profiles over the taxonomy. These are then generalized in two steps: first, by fuzzy clustering, and then by mapping the clusters

Method for Intelligent Representation of Research Activities of an Organization over a Taxonomy of its Field

by Boris Mirkin, Susana Nascimento, Luís Moniz Pereira, Boris Mirkin, Susana Nascimento, Luís Moniz Pereira, Boris Mirkin, Susana Nascimento, Luís Moniz Pereira
"... Abstract We describe a novel method for the analysis of research activities of an organization by mapping that to a taxonomy tree of the field. The method constructs fuzzy membership profiles of the organization members or teams in terms of the taxonomy’s leaves (research topics), and then it genera ..."
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), and then it generalizes them in two steps. These steps are: (i) fuzzy clustering research topics according to their thematic similarities in the department, ignoring the topology of the taxonomy, and (ii) optimally lifting clusters mapped to the taxonomy tree to higher ranked categories by ignoring “small ” discrepancies

POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR

by Dominique Tschopp, Prof E. Telatar, Prof S. Diggavi, Prof M. Grossglauser, Prof J. -y, Le Boudec, Prof M. Mitzenmacher, Prof S. Shakkottai
"... 2010 to my wife, Joyce, and my family...- Résumé- ..."
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2010 to my wife, Joyce, and my family...- Résumé-

Chapter 12 Rough Sets and Rough Logic: A KDD Perspective

by Zdzis Law Pawlak, Lech Polkowski, Andrzej Skowron
"... Abstract Basic ideas of rough set theory were proposed by Zdzis law Pawlak [85, 86] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world–wide growth of interest in rough sets and their applications. The main goal of rough set analysis is induction of approximations of con ..."
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Abstract Basic ideas of rough set theory were proposed by Zdzis law Pawlak [85, 86] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world–wide growth of interest in rough sets and their applications. The main goal of rough set analysis is induction of approximations

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by Pasquale De Meo A, Giovanni Quattrone A, Giorgio Terracina B, Domenico Ursino A
"... IOS Press Utilization of intelligent agents for supporting citizens in their access to e-government services 1 ..."
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IOS Press Utilization of intelligent agents for supporting citizens in their access to e-government services 1

List of Tables...........................

by Catherine Rose, Mills Olschanowsky, Catherine Rose, Mills Olschanowsky , 2011
"... by ..."
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RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing

by Jason Noah Laska , 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order

Name:

by Vorgelegt Am Januar, Oliver Schneider, Fachbereich Informatik, Oliver Schneider Contents
"... ..."
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Coleman Fung Institute for Engineering Leadership Quantitative Technology Methods that can Improve Business Operations Engineering Leadership Technical Brief Chapter 1: Intersection of Quantitative Technology and Business Models

by Ikhlaq Sidhu , Andrew Lim , Max Shen , Anoop Sinha , Ikhlaq Sidhu , Susan Broderick , Burghardt Tenderich
"... Abstract Companies have long faced a set of universal challenges: how can you get your customers to buy (and buy more)? How can you keep your customers happy and serve them after they buy? How can you learn what your customers are thinking about your company and your brand? The way that companies h ..."
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, it's mapped at the lower left portion of the taxonomy map. As we move up the y-axis, the risk associated with the application increases as illustrated with autopilot-based aircraft landing. As the application encompasses higher risk (e.g., the wrong answer to a math problem versus the loss
Results 1 - 9 of 9