Search
Now showing items 141-150 of 159
Regularização social em sistemas de recomendação com filtragem colaborativa
(Universidade Federal de São Carlos, 2019-05-14)
Models based on matrix factorization are among the most successful implementations of Recommender Systems. In this project, we study the possibilities of incorporating the information
from social networks to improve the ...
Distribuições combinadas
(Universidade Federal de São Carlos, 2021-04-21)
It is proposed a possible new line of research in which distributions are combined. Combined distributions are an alternative for adjusting continuous data that present different probabilistic behaviors. A combined ...
Redes Bayesianas para classificação com aprendizado via scoring and restrict: método, aplicação e comparação com métodos tradicionais
(Universidade Federal de São Carlos, 2021-04-05)
This work is an investigation towards the behavior of discrete Bayesian Networks (BN) which aims to solve classification problems. This methodology is based on graphs and probability theories, and
it is defined to be ...
Um novo modelo de sobrevivência Bell-Inversa Gaussiana com fração de cura
(Universidade Federal de São Carlos, 2021-03-26)
In this work we propose a new survival model called the Bell-Inverse Gaussian cure rate.
We consider different activation schemes in which the number of factors $M$ has the Bell distribution
and the time of occurrence ...
Modelos multivariados para dados de contagem com excesso de zeros
(Universidade Federal de São Carlos, 2019-12-10)
In this thesis we present two new distributions for modeling multivariate counting data with
overdispersion or underdispersion, zeros excess and correlation. Named the zero-inflated multivariate COM-Poisson (ZICOMP Type ...
Modelo poisson zero-modificado com efeito aleatório para dados longitudinais
(Universidade Federal de São Carlos, 2019-12-09)
In this work we present the Zero-Modified Poisson model with Normal random effect, and the Zero-Modified Poisson model with Generalized Log-Gamma random effect, which are extensions of the Zero-Modified Poisson model. Since ...
Método Zero-Variance para Monte Carlo Hamiltoniano aplicado a modelos GARCH univariados e multivariados
(Universidade Federal de São Carlos, 2021-05-13)
This PhD work develops, compares and applies Monte Carlo Markov Chains (MCMC) methods for parameter estimation in univariate and multivariate GJR-GARCH models.
Specifically, the following problems are addressed: (i) ...
Análise de textos por meio de processos estocásticos na representação word2vec
(Universidade Federal de São Carlos, 2021-03-03)
Within the field of Natural Language Processing (NLP), the word2vec model has been extensively explored in the field of vector representation of words. It is a neural network that is based on the hypothesis that similar ...
Resultados para o modelo de rumor de Maki-Thompson em árvores
(Universidade Federal de São Carlos, 2021-04-20)
In this work, we study the Maki-Thompson rumor model on infinite homogeneous trees which is formulated as a continuous-times Markov chain. This model can be defined as a system of interacting particles representing the ...
Redes neurais para grafos e suas aplicações aos sistemas complexos
(Universidade Federal de São Carlos, 2022-04-08)
Complex systems are composed of several components that interact with each other. A natural
approach for these types of systems is to use mathematical graph abstraction. In different
contexts in the real world, it is ...