78 results on '"Manouchehri, Narges"'
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2. Novel Topic Models for Parallel Topics Extraction from Multilingual Text
3. Finite Libby-Novick Beta Mixture Model: An MML-Based Approach
4. Risk-adjusted benchmarking of long-term overall survival in patients with HER2-positive early-stage Breast cancer: A Swedish retrospective cohort study
5. Novel Topic Models for Parallel Topics Extraction from Multilingual Text
6. Bayesian Inference in Infinite Multivariate McDonald’s Beta Mixture Model
7. Finite Libby-Novick Beta Mixture Model: An MML-Based Approach
8. Multivariate Beta-Based Hidden Markov Models Applied to Human Activity Recognition
9. Multivariate Beta-Based Hierarchical Dirichlet Process Hidden Markov Models in Medical Applications
10. Shifted-Scaled Dirichlet-Based Hierarchical Dirichlet Process Hidden Markov Models with Variational Inference Learning
11. Expectation propagation learning of finite multivariate Beta mixture models and applications
12. Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications
13. Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model
14. Entropy-Based Variational Inference for Semi-Bounded Data Clustering in Medical Applications
15. Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications
16. A Frequentist Inference Method Based on Finite Bivariate and Multivariate Beta Mixture Models
17. Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions
18. Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications
19. Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model
20. Variational learning of finite shifted scaled Dirichlet mixture models
21. List of contributors
22. A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection
23. Entropy-Based Variational Inference for Semi-Bounded Data Clustering in Medical Applications
24. A Frequentist Inference Method Based on Finite Bivariate and Multivariate Beta Mixture Models
25. Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications
26. Human Activity Recognition with an HMM-Based Generative Model
27. Hierarchical Dirichlet and Pitman–Yor process mixtures of shifted‐scaled Dirichlet distributions for proportional data modeling
28. Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection
29. A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications
30. Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications
31. A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications
32. A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions
33. Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications
34. Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions
35. Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting
36. Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis
37. A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution
38. A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models
39. Chapter 7 - Variational learning of finite shifted scaled Dirichlet mixture models
40. Online Variational Learning of Shifted Scaled Dirichlet Mixture
41. Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model
42. Online variational inference on finite multivariate Beta mixture models for medical applications
43. Nonparametric variational learning of multivariate beta mixture models in medical applications
44. Bivariate Beta Regression Model and Its Medical Applications
45. Shifted-Scaled Dirichlet-Based Hierarchical Dirichlet Process Hidden Markov Models with Variational Inference Learning
46. Multivariate Beta-Based Hidden Markov Models Applied to Human Activity Recognition
47. Variational learning of a shifted scaled Dirichlet model with component splitting approach
48. Fully Bayesian Learning of Multivariate Beta Mixture Models
49. Learning of Multivariate Beta Mixture Models via Entropy-based component splitting
50. Component Splitting-based Approach for Multivariate Beta Mixture Models Learning
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