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Dissertations / Theses on the topic 'Multinomial dirichlet classification model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Järvstråt, Lotta. "Functionality Classification Filter for Websites." Thesis, Linköpings universitet, Statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93702.

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The objective of this thesis is to evaluate different models and methods for website classification. The websites are classified based on their functionality, in this case specifically whether they are forums, news sites or blogs. The analysis aims at solving a search engine problem, which means that it is interesting to know from which categories in a information search the results come. The data consists of two datasets, extracted from the web in January and April 2013. Together these data sets consist of approximately 40.000 observations, with each observation being the extracted text from

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2

Monson, Rebecca Lee. "Modeling Transition Probabilities for Loan States Using a Bayesian Hierarchical Model." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2179.pdf.

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3

Bakhtiari, Koohsorkhi Alireza. "Analysis of the Dirichlet Process Mixture Model with Application to Dialogue Act Classification." Thesis, Université Laval, 2011. http://www.theses.ulaval.ca/2011/28503/28503.pdf.

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La reconnaissance des intentions de l’utilisateur est l’un des problèmes les plus difficiles dans la conception des systèmes de dialogues. Ces intentions sont généralement codés en termes d’actes de dialogue, où un rôle fonctionnel est attribué à chaque énoncé d’une conversation. L’annotation manuelle des actes de dialogue est généralement coûteuse et prends du temps, il y a donc un grand intérêt à plutôt annoter automatiquement des corpus de dialogue. Dans ce mémoire, nous proposons une approche non paramétrique bayésienne pour

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4

Frühwirth-Schnatter, Sylvia, and Gertraud Malsiner-Walli. "From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering." Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/s11634-018-0329-y.

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In model-based clustering mixture models are used to group data points into clusters. A useful concept introduced for Gaussian mixtures by Malsiner Walli et al. (Stat Comput 26:303-324, 2016) are sparse finite mixtures, where the prior distribution on the weight distribution of a mixture with K components is chosen in such a way that a priori the number of clusters in the data is random and is allowed to be smaller than K with high probability. The number of clusters is then inferred a posteriori from the data. The present paper makes the following contributions in the context of sparse finite

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5

Hrabák, Jan. "Analýza sentimentu zákaznických recenzí." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264264.

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This thesis is focused on sentiment analysis of unstructured text and its practical application on the real data downloaded from website Yelp.com The objectives of the theoretical part of this thesis is to sum up the information related to history, methods and possible applications of sentiment analysis. A reader is acquainted with important terms and processes of sentiment analysis. Theoretical part is focused on Naive Bayes classifier, that will be used in practical part of this thesis. In practical part there is detailed description of data set, construction and testing of model. At the end

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6

Byrne, Evan. "Inference in Generalized Linear Models with Applications." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555152640361367.

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7

Wei, Zhihua. "The research on chinese text multi-label classification." Thesis, Lyon 2, 2010. http://www.theses.fr/2010LYO20025/document.

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Text Classification (TC) which is an important field in information technology has many valuable applications. When facing the sea of information resources, the objects of TC are more complicated and diversity. The researches in pursuit of effective and practical TC technology are fairly challenging. More and more researchers regard that multi-label TC is more suited for many applications. This thesis analyses the difficulties and problems in multi-label TC and Chinese text representation based on a mass of algorithms for single-label TC and multi-label TC. Aiming at high dimensionality in fea

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8

Sievert, Rolf. "Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175173.

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Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. Land-based litter instance segmentation is a relatively unexplored field, and this study aims to give a comparison of the instance segmentation models Mask R-CNN and DetectoRS using the multiclass litter dataset called Trash Annotations in Context (TACO) i

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9

Bartcus, Marius. "Bayesian non-parametric parsimonious mixtures for model-based clustering." Thesis, Toulon, 2015. http://www.theses.fr/2015TOUL0010/document.

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Cette thèse porte sur l’apprentissage statistique et l’analyse de données multi-dimensionnelles. Elle se focalise particulièrement sur l’apprentissage non supervisé de modèles génératifs pour la classiﬁcation automatique. Nous étudions les modèles de mélanges Gaussians, aussi bien dans le contexte d’estimation par maximum de vraisemblance via l’algorithme EM, que dans le contexte Bayésien d’estimation par Maximum A Posteriori via des techniques d’échantillonnage par Monte Carlo. Nous considérons principalement les modèles de mélange parcimonieux qui reposent sur une décomposition spectrale de

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10

Corneli, Marco. "Dynamic stochastic block models, clustering and segmentation in dynamic graphs." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E012/document.

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Cette thèse porte sur l’analyse de graphes dynamiques, définis en temps discret ou continu. Nous introduisons une nouvelle extension dynamique du modèle a blocs stochastiques (SBM), appelée dSBM, qui utilise des processus de Poisson non homogènes pour modéliser les interactions parmi les paires de nœuds d’un graphe dynamique. Les fonctions d’intensité des processus ne dépendent que des classes des nœuds comme dans SBM. De plus, ces fonctions d’intensité ont des propriétés de régularité sur des intervalles temporels qui sont à estimer, et à l’intérieur desquels les processus de Poisson redevien

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11

Yun-DaHan and 韓昀達. "Dirichlet Priors for Markov Naïve Bayesian Classifiers with Multinomial Model for Gene Sequence Data." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/56x8f9.

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碩士<br>國立成功大學<br>資訊管理研究所<br>101<br>With the development of metagenomics and sequencing, biologists do not have to culture the microbes in a laboratory that is less than one percent of the microbes living in an ecological environment. In order to explore the diversity of species, biologists extract samples from an ecological environment directly by using the technologies for metagenomics. In the process of classifying gene sequence reads, the N-mer sliding window is generally used to extract features, and two adjacent features will have N-1 letters in common. This greatly violates the conditiona

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12

Chao-RuiLiu and 劉超瑞. "Methods for Setting Parameters of Generalized Dirichlet Priors for Multinomial Naïve Bayesian Classifiers in Document Classification." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/xwnqjk.

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碩士<br>國立成功大學<br>資訊管理研究所<br>101<br>Naïve Bayesian classifiers are a popular tool for classifying documents because of its computational efficiency and easy implementation. Generalized Dirichlet priors have been shown to be an effective way for improving the performance of the naïve Bayesian classifier with multinomial models, called multinomial naïve Bayesian classifiers, in document classification. For the sake of computational efficiency, the distinct words in a document set will be divided into groups, and the parameters of a generalized Dirichlet priors are determined group by group. The

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13

Huang, Yu-shan, and 黃于珊. "A Method for Setting the Parameters of Generalized Dirichlet Priors in Multinomial Naive Bayes Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/23047579719747766317.

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碩士<br>國立成功大學<br>資訊管理研究所<br>97<br>In the area of data mining, lots of scholars interest in the research of text classification. In various types of classification algorithms, naive Bayesian classifiers are widely used because of its high prediction accuracy and low computational complexity. It has been shown that the naive Bayesian classifier with a multinomial model can achieve competitive classification accuracy with respect to the naive Bayesian classifiers with other models. Hence, we will use multinomial naive Bayesian classifier for this study. Both Dirichlet and generalized Dirichlet dis

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14

Chuang, Wei-en, and 莊瑋恩. "A Method to Setting the Parameters of Prior Distributions on the Multinomial Naïve Bayes Model for Text Classification." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/19361401568414373730.

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碩士<br>國立成功大學<br>工業與資訊管理學系碩博士班<br>96<br>The naïve Bayes classifier is a popular technique for text classification because it performs well and has low computation complexity. Due to the various type of the distribution of the words in documents, there are some probabilistic model has been proposed such as binary independence model, multinomial model, poisson model, the negative model…etc. Previous studies have found that the multinomial model usually gives higher classification accuracy than the binary independence model. In this study, we use the multinomial naïve Bayes classifier for text

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15

Chung, Kuo-chen, and 鐘國禎. "A Multinomial Logistic Model of Employee Training: An Study Under A Cross Classification of Training Purpose and Financing Source." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/4n3z4m.

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碩士<br>朝陽科技大學<br>企業管理系碩士班<br>92<br>Based on a cross classification of “Training Purpose” and “Financing Source,” this study was designed to examine individual, job, and organization characteristics related to the different types of employee training. Using data from the National Longitudinal Survey of Youth 1979 collected by US Bureau of Labor Statistics, a multinomial logistic model was constructed to analyze 1,606 respondents from the 1996 cohort of the database. The findings are summarized as follows: 1. Workers with the following characteristics were more likely to receive training provi

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