Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 207 for “"LDA"”.
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LDA based approach for predicting friendship links in live journal social network
… mixtures of words. Latent Dirichlet Allocation (LDA) is one such probabilistic model which is generative in nature and is used for collections of discrete data such as text corpora. For our link prediction problem, users in the dataset are treated as "documents" and their interests as the …
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Investigation of Fluid Flow in Grinding using LDA Techniques and CFD Simulation
… are also presented. Laser Doppler Anemometry (LDA) was employed to obtain a basic understanding of the flow velocity profile in the region close to the grinding contact zone in a low speed grinding system and key characteristics of the fluid flow under varying grinding conditions were …
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An investigation of velocity bias with a three-component LDA in open channel flow
Data collected with a three-component laser Doppler anemometer system is used to investigate velocity bias. The data is collected in the viscous layer of a fully developed turbulent open water flow at a Reynolds number of 14,766 based on the flow depth. The data collected at a relatively low data …
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Gestão de stocks e sua aplicação no contexto de uma empresa comercial: a Inseltec Soluções, Lda
… implementação na organização Inseltec Soluções, Lda, mais concretamente no departamento de gestão de stocks, com o objetivo de adquirir conhecimento sobre como melhorar o seu sistema interno, de modo a melhorar a eficácia operacional. A investigação aprofundou diferentes formas de gerir os stocks …
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LDA and CTA in-cylinder measurements of intake-generated turbulence for steady flow around a centrally located valve
… and a one-component Laser Doppler Anemometry (LDA) system were used to measure velocity profiles in the cylinder.;The LDA and CTA data agreed relatively well. Both showed a conical jet after the valve, which impacted the cylinder wall near 25.4 mm above the cylinder head. A recirculating flow …
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Topic modeling in game reviews
… modelling using Latent Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers (BERT), and a hybrid model combining both to identify effective methods for extracting underlying themes in player feedback. We analyzed and interpreted these models’ outputs to learn the …
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SELF-ENHANCED VOCABULARY LEARNING LATENT DIRECHLET ALLOCATION
… models such as Latent Dirichlet Allocation (LDA) (Blei et al., 2003) and Biterm Topic Model (BTM) (Yan et al., 2013) are conventional probabilistic models designed to unveil latent topic structure within texts. In the paper, we proposed a novel topic model to process short texts called …
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Topic Modeling for Inferring Brain States from Electroencephalography (EEG) Signals
… from EEG signals. Latent Dirichlet allocation (LDA) is our preferred topic model because of its mixture-of-mixtures nature and its ability to be trained in an unsupervised manner. First, we present an architecture of a deep convolutional auto-encoder neural network to automatically learn feature …
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Unified Framework for Matrix-Variate Linear Discriminant Analysis
The linear discriminant analysis (LDA) is a feature extractor used in classification of high-dimensional data in a wide range of applications. In the classification of matrix-variate data, LDA can be used on the vectorized representation of the data in the commonly called one-dimensional LDA …
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T lymphocyte responses to equid herpesviruses 1 and 4 in horses
… immediate early gene products. A proliferative LDA was used to determine whether the frequency of precursor T cells detected before challenge with EHV-1 correlated with immune status. The precursor frequency of antigen-specific T cells increased in 3 out of 4 horses after infection. However, …
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Models for transition metal oxides and for protein design
… methods such as the Local Density (LDA) or Generalized Gradient Approximation (GGA). However, known problems exist when using these methods for predicting the electronic structure and total energy of transition metal oxides. We demonstrate that the LDA+U method, in which localized d …
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Effective Features and Machine Learning Methods for Human Recognition Based on Multi-biometric Systems
… popular techniques for face recognition; PCA and LDA. Different face classification techniques have been presented including supervised and unsupervised learning methods. The research focuses on assessing vision system performance and different databases that are suitable for biometric research. …
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Laser doppler anemometer measurements of Reynolds stresses in a fully developed pipe flow
A laser Doppler Anemometer (LDA) is used to make Reynolds stress measurements in a fully developed, turbulent pipe flow. Traverses are made to measure shear stress, normal stresses, and the correlation coefficient. To assess the accuracy of this system, these measurements are compared with results …
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Acoustic Feature Design for Speech Recognition, a Statistical Information-Theoretic Approach
… generalization of linear discriminant analysis (LDA) that optimizes a discriminative criterion and solves the problem in the lower-dimensional subspace. We start with showing that the calculation of the LDA projection matrix is a maximum mutual information estimation problem in the …
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Validating the ability of REIMS to differentiate lamb flavor performance based on consumer preference
… the model using linear discriminant analysis (LDA). Additionally, top 100 REIMS bins were determined by an f-statistic value and applied to reduce dimensionality before creating the model using LDA. Moreover, top 100 REIMS bins were entered into UCSD Metabolomics Workbench to determine possible …
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Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces
… followed by linear discriminant analysis (LDA) classification of log-variance features (CSP+LDA). A second set of algorithms used classification based on concepts from Riemannian geometry. The basic idea of these methods is that sample spatial covariance matrices (SCMs) of EEG epochs belong …
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Performance Evaluation of Logistic Regression, Linear Discriminant Analysis, and Classification and Regression Trees Under Controlled Conditions
… Regression (LR), Linear Discriminant Analysis (LDA), and Classification and Regression Trees (CART) are common classification techniques for prediction of group membership. Since these methods are applied for similar purposes with different procedures, it is important to evaluate the performance …
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Measurement of Operational Risks with Stochastic Models in Turkish Banking System
… first study in Turkey on the application of both LDA and EVT on operational risk measurement within the context of stochastic modeling of operational risks. The main purpose of this paper is to contribute to the literature on operational risk measurement still in progress both in Turkey and in the …
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Pattern recognition to detect fetal alchohol syndrome using stereo facial images
… neighbor (kNN), linear discriminant analysis (LDA) and support vector machine (SVM) classifiers. Principal component analysis was used for dimensionality reduction while classification accuracy was assessed using leave-one-out cross-validation. For dataset 1, using 2D coordinates together with …
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Unified processing of natural language and relational data
… techniques, such as latent Dirichlet allocations(LDA) or modern models, such as BERT. The combination of NLP and relational operations allows for extracting data from and analyzing text in the same interface used for general data analysis. This combination allows for gathering richer information …
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