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Model analysis
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The study sheds light on the role of word embeddings in constructing robust spam detection models, offering valuable guidance for model selection. The methodology, comparative analysis, and future directions are also presented in the paper.
5p
vithomson
02-07-2024
0
0
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This study expands upon an existing one-dimensional model to develop an innovative two-dimensional numerical framework for simulating moisture propagation within wood. Utilizing the finite difference method, this approach offers a more detailed analysis of moisture behavior in wood structures.
15p
vithomson
02-07-2024
0
0
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Part 2 book "Matrix algebra - Theory, computations and applications in statistics" included contents: Special matrices and operations useful in modeling and data analysis; selected applications in statistics; numerical methods; numerical linear algebra; software for numerical linear algebra.
316p
dianmotminh04
12-07-2024
2
0
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Part 1 book "Electric power system fundamentals" included contents: Fundamentals of energy systems; network analysis; power transformer modeling; transmission line and cable modeling; transmission line loadability.
185p
dianmotminh04
12-07-2024
0
0
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Part 2 of ebook "Applied predictive modeling" provides readers with contents including: Chapter 11 - Measuring performance in classification models; Chapter 12 - Discriminant analysis and other linear classification models; Chapter 13 - Nonlinear classification models; Chapter 14 - Classification trees and rule-based models; Chapter 15 - A Summary of grant application models; Chapter 16 - Remedies for severe class imbalance; Chapter 17 - Case study job scheduling; Chapter 18 - Measuring predictor importance; Chapter 19 - An introduction to feature selection; Chapter 20 - Factors that can af...
344p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Bayesian essentials with R (Second edition)" provides readers with contents including: Chapter 5 - Capture–recapture experiments; Chapter 6 - Mixture models; Chapter 7 - Time series; Chapter 8 - Image analysis;...
154p
daonhiennhien
03-07-2024
2
1
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Part 1 of ebook "Beginning data science in R: Data analysis, visualization, and modelling for the data scientist" provides readers with contents including: Chapter 1 - Introduction to R programming; Chapter 2 - Reproducible analysis; Chapter 3 - Data manipulation; Chapter 4 - Visualizing data; Chapter 5 - Working with large data sets; Chapter 6 - Supervised learning;...
188p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Beginning data science in R: Data analysis, visualization, and modelling for the data scientist" provides readers with contents including: Chapter 7 - Unsupervised learning; Chapter 8 - More R programming; Chapter 9 - Advanced R programming; Chapter 10 - Object oriented programming; Chapter 11 - Building an R package; Chapter 12 - Testing and package checking; Chapter 13 - Version control; Chapter 14 - Profiling and optimizing;...
181p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "Clinical data analysis on a pocket calculator: Understanding the scientific methods of statistical reasoning and hypothesis testing (Second edition)" provides readers with contents including: Chapter 27 - Robust tests for imperfect data; Chapter 28 - Non-linear modeling on a pocket calculator; Chapter 29 - Fuzzy modeling for imprecise and incomplete data; Chapter 30 - Bhattacharya modeling for unmasking hidden Gaussian curves; Chapter 31 - Item response modeling instead of classical linear analysis of questionnaires; Chapter 32 - Meta-analysis of continuous data; Chapter 33...
168p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Economic and financial modelling with EViews: A guide for students and professionals" provides readers with contents including: Chapter 8 - Modelling volatility in finance and economics - ARCH, GARCH and EGARCH models; Chapter 9 - Limited dependent variable models; Chapter 10 - Vector autoregression (VAR) model; Chapter 11 - Panel data analysis; Chapter 12 - Capital asset pricing model (CAPM);...
139p
daonhiennhien
03-07-2024
4
2
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Part 1 of ebook "Economic and financial modelling with EViews: A guide for students and professionals" provides readers with contents including: Chapter 1 - Introduction to EViews; Chapter 2 - A guideline for running regression; Chapter 3 - Time series analysis; Chapter 4 - Time series modelling; Chapter 5 - Further properties of time series; Chapter 6 - Economic forecasting using regression; Chapter 7 - Economic forecasting using ARIMA modelling;...
154p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Introduction to statistics and data analysis: With exercises, solutions and applications in R" provides readers with contents including: Chapter 9 - Inference; Chapter 10 - Hypothesis testing; Chapter 11 - Linear regression; Appendix A - Introduction to R; Appendix B - Solutions to exercises; Appendix C - Technical appendix; Appendix D - Visual summaries;...
272p
daonhiennhien
03-07-2024
2
1
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Part 1 of ebook "Introduction to time series and forecasting (Third edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Stationary processes; Chapter 3 - ARMA models; Chapter 4 - Spectral analysis; Chapter 5 - Modeling and forecasting with ARMA processes; Chapter 6 - Nonstationary and seasonal time series models;...
204p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "Introductory time series with R" provides readers with contents including: Chapter 6 - Stationary models; Chapter 7 - Non-stationary models; Chapter 8 - Long-memory processes; Chapter 9 - Spectral analysis; Chapter 10 - System identification; Chapter 11 - Multivariate models; Chapter 12 - State space models;...
131p
daonhiennhien
03-07-2024
3
1
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Part 1 of ebook "Methods of mathematical modelling: Continuous systems and differential equations" provides readers with contents including: Formulation of models; Chapter 1 - Rate equations; Chapter 2 - Transport equations; Chapter 3 - Variational principles; Chapter 4 - Dimensional scaling analysis;...
123p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Object-oriented analysis, design and implementation: An integrated approach (Second edition)" provides readers with contents including: Chapter 9 - Exploring inheritance; Chapter 10 - Modelling with finite state machines; Chapter 11 - Interactive systems and the MVC architecture; Chapter 12 - Designing with distributed objects; Chapter 13 - The unified modeling language;...
246p
daonhiennhien
03-07-2024
2
1
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Part 1 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - General aspects of fitting regression models; Chapter 3 - Missing data; Chapter 4 - Multi-variable modeling strategies; Chapter 5 - Describing, resampling, validating, and simplifying the model; Chapter 6 - R software; Chapter 7 - Modeling longitudinal responses using generalized least squares; Chapter 8 - Case study in data reduction;...
297p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 15 - Regression models for continuous Y and case study in ordinal regression; Chapter 16 - Transform-both-sides regression; Chapter 17 - Introduction to survival analysis; Chapter 18 - Parametric survival models; Chapter 19 - Case study in parametric survival modeling and model approximation; Chapter 20 - Cox proportional hazards regression model; Chapter 21 - Case study in cox regressi...
301p
daonhiennhien
03-07-2024
2
1
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Part 2 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 8 - Maximum likelihood methods for two-variable datasets; Chapter 9 - Multi-variable regression; Chapter 10 - Goodness of fit and parameter uncertainty; Chapter 11 - Systematic errors and intrinsic scatter; Chapter 12 - Fitting two-variable datasets with bivariate errors; Chapter 13 - Model comparison; Chapter 14 - Monte Carlo methods; Chapter 15 - Introduction to Markov Chains; Chapter 16 - Monte Carlo Markov Chains;...
165p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Stochastic processes and calculus: An elementary introduction with applications" provides readers with contents including: Chapter 7 - Wiener processes (WP); Chapter 8 - Riemann integrals; Chapter 9 - Stieltjes integrals; Chapter 10 - Ito integrals; Chapter 11 - Ito's lemma; Chapter 12 - Stochastic differential equations (SDE); Chapter 13 - Interest rate models; Chapter 14 - Asymptotics of integrated processes; Chapter 15 - Trends, integration tests and nonsense regressions; Chapter 16 - Cointegration analysis;...
235p
daonhiennhien
03-07-2024
1
1
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