scholarly journals Voting Between Multiple Data Representations for Text Chunking

2005 ◽  
pp. 389-400 ◽  
Author(s):  
Hong Shen ◽  
Anoop Sarkar
Keyword(s):  
Multiple Data ◽  
Data Representations ◽  
Text Chunking

An Oxford survey of order sorted algebra

1994 ◽  
Vol 4 (3) ◽  
pp. 363-392 ◽  
Author(s):  
Joseph Goguen ◽  
Răzvan Diaconescu
Keyword(s):  
Object Oriented ◽  
Object Oriented Programming ◽  
Multiple Data ◽  
Data Representations

This paper surveys several different variants of order sorted algebra (abbreviated OSA), comparing some of the main approaches (overloaded OSA, universe OSA, unified algebra, term declaration algebra, etc.), emphasising motivation and intuitions, and pointing out features that distinguish the original ‘overloaded’ OSA approach from some later developments. These features include sort constraints and retracts; the latter is particularly useful for handling multiple data representations (including automatic coercions among them). Many examples are given, for most of which, runs are shown on the OBJ3 system.This paper also significantly generalises overloaded OSA by dropping the regularity and monotonicity assumptions, and by adding signatures of non-monotonicities, which support simple semantics for some aspects of object oriented programming. A number of new results for this generalisation are proved, including initiality, variety, and quasi-variety theorems. Axiomatisability results à la Birkhoff are also proved for unified algebras.

TOWARDS A UNIFIED PRINCIPLE FOR REASONING ABOUT HETEROGENEOUS DATA: A FUZZY LOGIC FRAMEWORK

2012 ◽  
Vol 20 (02) ◽  
pp. 281-302 ◽  
Author(s):  
LYAMINE HEDJAZI ◽  
JOSEPH AGUILAR-MARTIN ◽  
MARIE-VERONIQUE LE LANN ◽  
TATIANA KEMPOWSKY
Keyword(s):  
Fuzzy Logic ◽  
Heterogeneous Data ◽  
Learning Problems ◽  
Characteristic Functions ◽  
Partial Knowledge ◽  
Process Variables ◽  
Automatic Reasoning ◽  
Multiple Data ◽  
Monitoring Process ◽  
Data Representations

Human knowledge about monitoring process variables is usually incomplete. To deal with this partial knowledge many types of representation other than the quantitative one are used to describe process variables (qualitative, symbolic interval). Thus, the development of automatic reasoning mechanisms about the process is faced with this problem of multiple data representations. In this paper, a unified principle for reasoning about heterogeneous data is introduced. This principle is based on a simultaneous mapping of data from initially heterogeneous spaces into only one homogeneous space based on a relative measure using appropriate characteristic functions. Once the heterogeneous data are represented in a unified space, a single processing for various analysis purposes can be performed using simple reasoning mechanisms. An application of this principle within a fuzzy logic framework is performed here to demonstrate its effectiveness. We show that simple fuzzy reasoning mechanisms can be used to reason in a unified way about heterogeneous data in three well known machine learning problems.

Spatial and temporal dynamics of Pacific capelin Mallotus catervarius in the Gulf of Alaska: implications for ecosystem-based fisheries management

2020 ◽  
Vol 637 ◽  
pp. 117-140 ◽  
Author(s):  
DW McGowan ◽  
ED Goldstein ◽  
ML Arimitsu ◽  
AL Deary ◽  
O Ormseth ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Marine Ecosystem ◽  
Gulf Of Alaska ◽  
Data Series ◽  
Limited Information ◽  
Important Species ◽  
Multiple Data ◽  
Spatial And Temporal Dynamics ◽  
Spawning Areas ◽  
Spatio Temporal

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.

Maintenance of a Genetic Data Set on Multiple Data Base and Statistical Analysis Systems

1982 ◽  
Vol 61 (s109) ◽  
pp. 34-34
Author(s):  
Samuel J. Agronow ◽  
Federico C. Mariona ◽  
Frederick C. Koppitch ◽  
Kazutoshi Mayeda
Keyword(s):  
Statistical Analysis ◽  
Data Base ◽  
Genetic Data ◽  
Data Set ◽  
Multiple Data

Этапы внедрения производственной электронной модели системы водоснабжения и водоотведения

2020 ◽  
Author(s):  
E. Rozhnov ◽  
E. Siksina
Keyword(s):  
Water Supply ◽  
Water Distribution ◽  
Product Line ◽  
Graphic System ◽  
Wastewater Disposal ◽  
Multiple Data ◽  
Performance Specifications ◽  
Data Processing Center ◽  
Operational Program ◽  
Rational Operation

С целью упорядочения и анализа информации о системе распределения воды и стоков г. Новокузнецка и исключения многократного дублирования данных в разных информационных средах было принято решение о внедрении разработки компании ИВЦ Поток Информационно-графической системы ГидроГраф из линейки продуктов под торговой маркой CityComТМ. В настоящее время система ГидроГраф активно используется многими подразделениями ООО Водоканал . Планирование производственной программы на сегодняшний день уже невозможно без системы ГидроГраф . С ее помощью осуществляется выдача технических заданий, подготовка отключений, составление планов производства работ, заключение договоров с новыми абонентами, оптимизация системы водоснабжения и водоотведения. Появление полноценной, выверенной и постоянно актуализируемой базы данных позволило оперативно и в удобной форме решать множество задач. При этом обеспечивается повышение эффективности и точности планирования ремонтов, сокращение издержек и в целом рациональная эксплуатация системы водоснабжения и водоотведения г. Новокузнецка.To provide for sorting and analyzing the data on the water distribution and sewer network system in Novokuznetsk and to avoid multiple data duplication in various IT environments, it was decided to introduce the product of Potok data processing center HydroGraph Information and Graphic System from the product line under CityComTM trademark. Currently, HydroGraph system has been in active use by many divisions of Vodokanal, LLC. Planning an operational program today is no longer possible without HydroGraph system. The system provides for issuing the performance specifications, preparing for shutdowns, compiling work execution plans, signing contracts with new customers, and upgrading the water supply and wastewater disposal systems. The development of a meaningful, verified and continuously updated database made it possible to quickly and conveniently solve many problems. Therein it ensures improved efficiency and accuracy of repair planning, cost reduction and generally rational operation of the water supply and wastewater disposal system in Novokuznetsk.

An Efficient Multiple Data Sources Selection Algorithm in Data-Sharing Environments

2008 ◽  
Vol 19 (2) ◽  
pp. 314-322 ◽  
Author(s):  
Xiao-Qing WANG
Keyword(s):  
Data Sharing ◽  
Data Sources ◽  
Selection Algorithm ◽  
Multiple Data Sources ◽  
Multiple Data

A Survey on Privacy-Preserving Outsourced Data on Cloud with Multiple Data Providers

2020 ◽  
Author(s):  
Aman Singh Chauhan ◽  
Dikshika Rani ◽  
Akash Kumar ◽  
Rishabh Gupta ◽  
Ashutosh Kumar Singh
Keyword(s):  
Privacy Preserving ◽  
Multiple Data ◽  
Outsourced Data

Multiple data parameter identification for nonlinear conceptual models

1997 ◽  
Vol 36 (5) ◽  
pp. 61-68 ◽  
Author(s):  
Hermann Eberl ◽  
Amar Khelil ◽  
Peter Wilderer
Keyword(s):  
Optimization Problem ◽  
Conceptual Models ◽  
Reference Data ◽  
Transport Model ◽  
Calibration Method ◽  
Data Sets ◽  
Multiple Data ◽  
Marquardt Algorithm ◽  
Multicriteria Optimization Problem ◽  
Higher Order Differential Equations

A numerical method for the identification of parameters of nonlinear higher order differential equations is presented, which is based on the Levenberg-Marquardt algorithm. The estimation of the parameters can be performed by using several reference data sets simultaneously. This leads to a multicriteria optimization problem, which will be treated by using the Pareto optimality concept. In this paper, the emphasis is put on the presentation of the calibration method. As an example identification of the parameters of a nonlinear hydrological transport model for urban runoff is included, but the method can be applied to other problems as well.

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