1 resultado para Intelligence and Age
em Repositório Científico da Universidade de Évora - Portugal
Filtro por publicador
- Aberdeen University (4)
- Aberystwyth University Repository - Reino Unido (7)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- Adam Mickiewicz University Repository (1)
- Aquatic Commons (48)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Aston University Research Archive (16)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (5)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (37)
- Brock University, Canada (6)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Cambridge University Engineering Department Publications Database (29)
- CentAUR: Central Archive University of Reading - UK (22)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (16)
- Clark Digital Commons--knowledge; creativity; research; and innovation of Clark University (1)
- Cochin University of Science & Technology (CUSAT), India (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (5)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (52)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons at Florida International University (10)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (11)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (16)
- Indian Institute of Science - Bangalore - Índia (11)
- Instituto Politécnico de Viseu (1)
- Instituto Superior de Psicologia Aplicada - Lisboa (2)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- Ministerio de Cultura, Spain (3)
- National Center for Biotechnology Information - NCBI (6)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (247)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (54)
- Queensland University of Technology - ePrints Archive (219)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositorio Institucional de la Universidad de Almería (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (23)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (2)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (6)
- Universidade Complutense de Madrid (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (1)
- Université de Lausanne, Switzerland (1)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (14)
- University of Queensland eSpace - Australia (18)
- University of Washington (2)
Resumo:
This paper presents our approach of identifying the profile of an unknown user based on the activities of known users. The aim of author profiling task of PAN@CLEF 2016 is cross-genre identification of the gender and age of an unknown user. This means training the system using the behavior of different users from one social media platform and identifying the profile of other user on some different platform. Instead of using single classifier to build the system we used a combination of different classifiers, also known as stacking. This approach allowed us explore the strength of all the classifiers and minimize the bias or error enforced by a single classifier.