The construction process of the CGO prediction model. by Wenbing Shi (5806160)

Subjects:

The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

Subjects:

The genome recombination of neuroevolution. by Wenbing Shi (5806160)

Subjects:

The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

Subjects:

The speciation of NANEAT model evolution. by Wenbing Shi (5806160)

Subjects:

Details prediction results for learning to Kalman filter, each subfigure results for 2000 data instances. by Junaid Khan (4276162)

Data for validation. by Natsumi Nishiyama (19928990)

Subjects:

Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models by Yu Zheng (2950)

“…Motivated to significantly accelerate the posterior computation, we propose a new data augmentation that leads to a fast block Gibbs sampling algorithm. …”

Data of pregnant woman. by Natsumi Nishiyama (19928990)

Subjects:

Comparison of target detection algorithms. by Diansheng Zhang (22640973)

Pooled sensitivities, specificities, and area under the curve, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio. by Soheil Mohammadi (12468952)

Subjects:

Forest plots. by Soheil Mohammadi (12468952)

Subjects:

All studies found in search. by Soheil Mohammadi (12468952)

Subjects:

Flowchart of study selection. by Soheil Mohammadi (12468952)

Subjects:

Study characteristics, external validation. by Soheil Mohammadi (12468952)

Subjects:

Deek’s funnel plots. by Soheil Mohammadi (12468952)

Subjects:

Study characteristics, internal validation. by Soheil Mohammadi (12468952)

Subjects:

SROC curves. by Soheil Mohammadi (12468952)

Subjects:

Adherence to Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD), and Prediction Model Study Risk of Bias Assessment Tool (PROB... by Soheil Mohammadi (12468952)

Subjects:

Data for defining optimum threshold. by Natsumi Nishiyama (19928990)

Subjects: