76 resultados para Boosted regression trees
Filtro por publicador
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Applied Math and Science Education Repository - Washington - USA (2)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Aston University Research Archive (3)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (6)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (44)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (90)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (4)
- Biodiversity Heritage Library, United States (19)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (47)
- Brock University, Canada (4)
- CentAUR: Central Archive University of Reading - UK (83)
- Cochin University of Science & Technology (CUSAT), India (6)
- Collection Of Biostatistics Research Archive (24)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (45)
- Dalarna University College Electronic Archive (6)
- Department of Computer Science E-Repository - King's College London, Strand, London (5)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (4)
- Digital Commons - Montana Tech (2)
- Digital Commons at Florida International University (1)
- Digital Knowledge Repository of Central Drug Research Institute (1)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (4)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (22)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Instituto Politécnico do Porto, Portugal (8)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (11)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (3)
- Ministerio de Cultura, Spain (8)
- National Center for Biotechnology Information - NCBI (1)
- Publishing Network for Geoscientific & Environmental Data (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório da Produção Científica e Intelectual da Unicamp (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (8)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (162)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (7)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (76)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (2)
- Universidade do Minho (3)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Lausanne, Switzerland (76)
- Université de Montréal, Canada (13)
- University of Canberra Research Repository - Australia (1)
- University of Queensland eSpace - Australia (27)
- University of Southampton, United Kingdom (5)
Resumo:
The odor and taste profile of cocoa bean samples obtained from trees cultivated in southern Mexico were evaluated by trained panelists. Seven representative samples (groups) of a total of 45 were analyzed. Four attributes of taste (sweetness, bitterness, acidity and astringency), and nine of odor (chocolate, nutty, hazelnut, sweet, acidity, roasted, spicy, musty and off-odor) were evaluated. A sample (G7) with higher scores in sweet taste and sweet and nutty odors was detected, as well as a high association between these descriptors and the sample, analyzed through principal component analysis (PCA). Similarly, samples that showed high scores for non-desired odors in cocoas such as off-odor and musty were identified and related by PCA to roasted odor and astringent taste (G2 and G4). Based on this scores, the samples were listed in descending order by their sensory quality as G7> G5> G6> G3> G1> G4> G2.