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 58 for “"bagging"”.
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Development of a Bagging-based Ensemble Model for ECG Classification
… results. This study explores the application of bagging techniques to three base models: CNN, LSTM, and Transformer, for both binary classification on the PTB dataset and multiclass classification on the MITBIH datasets. The findings indicate that the CNN model outperforms the other two models …
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An evaluation of a supermarket bagging task using a wrist motion monitor
Cumulative trauma disorders have become common among workers in industry. Grocery stores are an industry with one of the highest number of repeated trauma illnesses. Checkout departments have a rate of musculoskeletal injuries two to three times higher than other supermarket departments. The …
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Classificação não supervisionada no contexto de tamanho e forma
… dos algoritmos, com os métodos de ensemble: bagging e boosting. Para os dados simulados, gerados a partir da distribuição normal complexa, propomos três possíveis cenários para avaliar o desempenho dos métodos propostos. Neles, as combinações dos algoritmos foram superiores às suas versões …
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On Some Aspects of Model Selection Variability
… matrices are derived for high dimensional bagging estimators, one for the nonparametric bootstrapping and the other for the parametric bootstrapping. Two simulation studies are completed in detail for demonstrating the validity of the new formulae. Several model selection methods --- the …
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A Prediction Modeling Framework For Noisy Welding Quality Data
… framework, which employs bootstrap aggregating (bagging) with support vector regression (SVR) as the base learning algorithm to improve the prediction accuracy on such noisy data. Optimal hyper-parameters for SVR are selected by particle swarm optimization (PSO) with meta-modeling. Constructing …
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Using Ensembles for Web Effort Estimation
… it in conjunction with a technique called bagging when building Web effort estimation ensembles. Bagging enables multiple estimation runs to be made using a single dataset, which provides us with a more in depth look at ensemble performance. As bagging usually entails a loss of training …
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Optimising credit card fraud detection through machine learning and deep learning with spatial-temporal imbalance handling
… We assessed eight machine learning algorithms—Bagging Classifier, Random Forest, CatBoost, Logistic Regression (LR), Extreme Gradient Boosting (XGBoost), AdaBoost, Gaussian Naive Bayes, and Extra Trees Classifier—and two deep learning models, Gated Recurrent Unit (GRU) and Neural Network (NN). …
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Pheasant Use and Waterfowl Production on State and Private Lands
… hunting season in 1968, 36 hunters spent 5 hours bagging four pheasants (0.14 birds/man hour) on private areas. On state areas 280 hunters spent 59 hours bagging 118 birds (0.41 birds/man hour). In 1969, four hunters spent 2 hours and bagged no pheasants on private areas. On state areas 109 …
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Concurrency Optimization for Integrative Network Analysis
… to various cancers. Chen et. al. developed a bagging Markov random field (BMRF)-based approach which examines gene expression data with prior biological information to reliably identify significant genes and proteins. Using random resampling with replacement (bootstrapping or bagging) is …
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Advanced composites using non-autoclave processes: manufacturing and characterization
… low fiber volume contents. Two different vacuum bagging methods: Seeman Composite Resin Infusion Molding Process (SCRIMP) and Double Vacuum Bagging Infusion (DVBI) process were evaluated. Flow simulation tool was used to predict key flow parameters needed for the successful infusion. In Paper 2, …
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Effect of Protective Covers Against Biotic and Abiotic Disorders for Grape Production in Virginia
… and insect- and bird-related damages. Fruit bagging resulted in significantly lower (P ≤ 0.05) mean severity and incidence of black rot, sour rot, sooty mold, and grape berry moth damage. Similarly, we found a significantly lower mean incidence of black rot, ripe rot, sour rot, and bird …
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Rainbow Trout (Oncorhynchus mykiss) Summer Habitat Use in Lake Spokane, Washington
… tracking data and water quality data for a range bagging model in Program R. Monthly kernel density maps showed locations selected during two summers (2017 and 2018). The probability of presence of Rainbow Trout will be determined from water quality data and Rainbow Trout depth and temperature …
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Modelação e visualização da biodiversidade de briófitos em sistemas altitudinais na ilha do Pico - Açores
… Machine, Modelos Lineares Generalizados e Range Bagging, tendo por base dados de ocorrência das espécies e 19 variáveis bioclimáticas derivadas de dados de temperatura e precipitação. Considerando a complexidade das relações espécie-ambiente e a necessidade de robustez preditiva, foi implementada …
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Randomness In Tree Ensemble Methods
… However, other tree ensemble techniques (e.g. bagging, random forests) have attracted limited theoretical treatment. Specifically, it has remained somewhat unclear as to why the simple act of randomizing the tree growing algorithm should lead to such dramatic improvements in performance. It has …
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Randomness In Tree Ensemble Methods
… However, other tree ensemble techniques (e.g. bagging, random forests) have attracted limited theoretical treatment. Specifically, it has remained somewhat unclear as to why the simple act of randomizing the tree growing algorithm should lead to such dramatic improvements in performance. It has …
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Machine Learning for Biostatisticians: A Hypothesis Driven Approach
… the use of Alternating Decision Trees and Bagging for the detection of interacting and associated SNPs. We introduce a novel interpretation of bagged ADTrees that allows for detection of sets of SNPs that associate with disease with high positive predicive value. Simulated testing shows …
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Additive manufacture of dissolvable tooling for autoclave processing of fiber reinforced polymer composites
… by adjusting the tool wall thickness and vacuum bagging configuration. It was shown that 3D-printed dissolvable tooling can be used as an alternative to traditional washout tooling for autoclave processing. The materials Stratasys ST-130 and Infinite Material Solutions AquaSys 180 were used to …
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Understanding neural network sample complexity and interpretable convergence-guaranteed deep learning with polynomial regression
… polynomial regression, and are able to design a bagging-type algorithm to successfully train it. The method achieves competitive accuracy on simple image datasets while being more simple. We also demonstrate that it is more robust and more interpretable that existing approaches. It also offers …
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Modelling first innings totals in T20 cricket: applications in the Indian Premier League
… logistic regression, classification trees, bagging, random forest, boosting, support vector machines, artificial neu- ral networks, and naive Bayes. Features are chosen that represent various key aspects of the game, including player strengths, stadium information, the winner of the toss, …
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The impact of agricultural modernization on women's activities
… of fertilizers and pesticides, shelling, bagging and transporting the crop to the markets.This study, therefore, concludes that agricultural modernization leads to an increased involvement of women in agriculture. Finally, the study also shows that agricultural modernization, in the …
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