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You searched for subject:(Affinity estimation). Showing records 1 – 2 of 2 total matches.

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1. Gunasekar, Suriya. A survey on using side information in recommendation systems.

Degree: Electrical and Computer Engineering, 2012, University of Texas – Austin

This report presents a survey of the state-of-the-art methods for building recommendation systems. The report mainly concentrates on systems that use the available side information in addition to a fraction of known affinity values such as ratings. Such data is referred to as Dyadic Data with Covariates (DyadC). The sources of side information being considered includes user/item entity attributes, temporal information and social network attributes. Further, two new models for recommendation systems that make use of the available side information within the collaborative filtering (CF) framework, are proposed. Review Quality Aware Collaborative Filtering, uses external side information, especially review text to evaluate the quality of available ratings. These quality scores are then incorporated into probabilistic matrix factorization (PMF) to develop a weighted PMF model for recommendation. The second model, Mixed Membership Bayesian Affinity Estimation (MMBAE), is based on the paradigm of Simultaneous Decomposition and Prediction (SDaP). This model simultaneously learns mixed membership cluster assignments for users and items along with a predictive model for rating prediction within each co-cluster. Experimental evaluation on benchmark datasets are provided for these two models. Advisors/Committee Members: Ghosh, Joydeep (advisor), Sanghavi, Sujay (committee member).

Subjects/Keywords: Side information; Recommendation systems; SDaP; MMBAE; Survey; Affinity estimation

…Mixed Membership Bayesian Affinity Estimation 76 5.1 Model Description… …73 5.1 Mixed Membership Bayesian Affinity Estimation (MMBAE)… …studied class of “affinity estimation” problems in data mining. In particular, recommender… …formulated with the predicted affinities. Affinity estimation is a vast field in itself, this… …report primarily 1 discusses affinity estimation in recommender systems with emphasis on… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gunasekar, S. (2012). A survey on using side information in recommendation systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gunasekar, Suriya. “A survey on using side information in recommendation systems.” 2012. Thesis, University of Texas – Austin. Accessed March 20, 2019. http://hdl.handle.net/2152/ETD-UT-2012-05-5740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gunasekar, Suriya. “A survey on using side information in recommendation systems.” 2012. Web. 20 Mar 2019.

Vancouver:

Gunasekar S. A survey on using side information in recommendation systems. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Mar 20]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gunasekar S. A survey on using side information in recommendation systems. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Silva, Joana Trigo da Silva de Oliveira e. Antropologia Forense e Identificação Humana.

Degree: 2015, Universidade Fernando Pessoa

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Medicina Dentária

A identificação de vítimas mortais é uma necessidade das sociedades, por razões jurídicas, sociais e humanitárias. A Antropologia Forense é uma das subdisciplinas da Antropologia Física que se dedica à identificação humana, nomeadamente em investigações arqueológicas, criminais e de desastres de massa. A Antropologia Forense é particularmente útil na investigação da identidade humana a partir do exame de cadáveres ou de restos mortais carbonizados, despedaçados, em adiantado estado de decomposição, ou esqueletizados. A realização das peritagens necessárias à identificação destes restos mortais terá que ser efetuada por um conjunto de profissionais, dos quais se destacam os antropólogos forenses. Para esse efeito, estes executam a diagnose da espécie, da afinidade populacional, do género, da idade no momento do falecimento e da estatura, através da aplicação de diversas metodologias, que têm por base dados morfológicos e morfométricos do esqueleto e dos dentes. Tendo em conta que os dentes e as arcadas dentárias são elementos do corpo humano que proporcionam diversas características individualizantes, surge a Medicina Dentária Forense como uma área privilegiada para a identificação humana, cabendo ao médico dentista essa nova responsabilidade.

The identification of victims is a necessity, for legal reasons, humanitarian and social. Forensic Anthropology is one of the subdisciplines of Physical Anthropology and is dedicated to the human identification, particularly in archaeological investigations, criminal and mass disaster. Forensic Anthropology is particularly useful in the investigation of human identity from the examination of dead bodies or remains charred, broken in advance state of decomposition, or in the form of skeletons. The expertise necessary for the identification of these remains will have to be carried out by a group of professionals, including forensic anthropologists. To this end, these perform the diagnosis of species, population affinity, gender, age at time of death and the stature, by applying various methodologies, based on morphological and morphometric data of the skeleton and teeth. Taking into account that the teeth and dental arches are elements of the human body that provide various distinctive characteristics, arises Forensic Dentistry as a prime area for human identification, fitting to the dentist this new responsibility.

Advisors/Committee Members: Queirós, Maria Gabriel.

Subjects/Keywords: Antropologia forense; Identificação humana; Diagnose da afinidade populacional; Diagnose sexual; Estimativa da idade; Estimativa da estatura; Medicina dentária forense; Tafonomia forense; Forensic anthropology; Human identification; Diagnosis of population affinity; Sexual diagnosis; Estimated age; Height estimation; Forensic dentistry; Forensic taphonomy

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Silva, J. T. d. S. d. O. e. (2015). Antropologia Forense e Identificação Humana. (Thesis). Universidade Fernando Pessoa. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Silva, Joana Trigo da Silva de Oliveira e. “Antropologia Forense e Identificação Humana.” 2015. Thesis, Universidade Fernando Pessoa. Accessed March 20, 2019. https://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Silva, Joana Trigo da Silva de Oliveira e. “Antropologia Forense e Identificação Humana.” 2015. Web. 20 Mar 2019.

Vancouver:

Silva JTdSdOe. Antropologia Forense e Identificação Humana. [Internet] [Thesis]. Universidade Fernando Pessoa; 2015. [cited 2019 Mar 20]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silva JTdSdOe. Antropologia Forense e Identificação Humana. [Thesis]. Universidade Fernando Pessoa; 2015. Available from: https://www.rcaap.pt/detail.jsp?id=oai:bdigital.ufp.pt:10284/5237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.