1 resultado para model order estimation
em Department of Computer Science E-Repository - King's College London, Strand, London
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Academic Research Repository at Institute of Developing Economies (1)
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- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (4)
- Aston University Research Archive (12)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (82)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (18)
- Brock University, Canada (12)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CentAUR: Central Archive University of Reading - UK (44)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (6)
- Cochin University of Science & Technology (CUSAT), India (8)
- Collection Of Biostatistics Research Archive (6)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (116)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (2)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons - Michigan Tech (4)
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- Diposit Digital de la UB - Universidade de Barcelona (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (89)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (2)
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- Institute of Public Health in Ireland, Ireland (1)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (42)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (4)
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- Massachusetts Institute of Technology (2)
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- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (1)
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- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositorio Institucional de la Universidad de Málaga (1)
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- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (37)
- Scielo Saúde Pública - SP (58)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (12)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (23)
- Universidade Complutense de Madrid (6)
- Universidade do Minho (20)
- Universidade dos Açores - Portugal (3)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (2)
- Universitat de Girona, Spain (1)
- Université de Lausanne, Switzerland (108)
- Université de Montréal, Canada (43)
- University of Connecticut - USA (1)
- University of Michigan (6)
- University of Queensland eSpace - Australia (53)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mechanism takes a scenario describing the constituent interacting components of a system and translates it into a useful mathematical model. This paper presents a novel compositional modelling approach aimed at building model repositories. It furthers the field in two respects. Firstly, it expands the application domain of compositional modelling to systems that can not be easily described in terms of interacting functional components, such as ecological systems. Secondly, it enables the incorporation of user preferences into the model selection process. These features are achieved by casting the compositional modelling problem as an activity-based dynamic preference constraint satisfaction problem, where the dynamic constraints describe the restrictions imposed over the composition of partial models and the preferences correspond to those of the user of the automated modeller. In addition, the preference levels are represented through the use of symbolic values that differ in orders of magnitude.