Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Accuracy of the Bayesian classification model F5 when applied to the subset of canopy images acquired at Qihe station. by Jibo Zhang (38440)

Data_Sheet_1_Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases.pdf by Areej Alhhazmi (6535361)

Data_Sheet_1_Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases.pdf by Areej Alhhazmi (6535361)

Data_Sheet_1_Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics.pdf by Mike Diessner (14236922)

Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”

Data_Sheet_1_Interpretability With Accurate Small Models.pdf by Abhishek Ghose (8487966)

“…The mixture model parameters are learned using Bayesian Optimization. Under simplistic assumptions, we would need to optimize for O(d) variables for a distribution over a d-dimensional input space, which is cumbersome for most real-world data. …”

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

Data_Sheet_1_A New Bayesian Methodology for Nonlinear Model Calibration in Computational Systems Biology.PDF by Fortunato Bianconi (6938102)

“…., estimate parameters from experimental data. Existing methodologies for parameter estimation are divided in two classes: frequentist and Bayesian methods. …”

Experimental results of speaker segmentation system for three existing distance metrics and proposed distance metrics applied on development dataset and test datasets. by Sukhvinder Kaur (20297968)

Subjects:

BGCN optimization framework. by Shuhui Luo (19173211)

Table_1_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)