Optimization traces for six datasets and four NMTF optimization methods. by Andrej Čopar (6824375)

The profile log-likelihood of data simulated from four distinct MA(1) models, demonstrating a few examples of multimodal likelihood surfaces. by Jesse Wheeler (18462457)

Evidence for an AR(1) model for the Lake Michigan-Huron data. by Jesse Wheeler (18462457)

Proportion of models that achieved nominal coverage of Bonferroni adjusted 95% confidence intervals. by Jesse Wheeler (18462457)

Model-based sex classification accuracies. by Kevin J. Wischnewski (21354521)

Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions. by Yuanchen Zhao (12905580)

Recovery qualities of individual groups under increasing intra-group heterogeneity and inter-group promiscuity of species. by Yuanchen Zhao (12905580)

Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

Decoding results. by Sam Hall-McMaster (10343795)

Subgroup analysis. by Sam Hall-McMaster (10343795)

Behavioral results. by Sam Hall-McMaster (10343795)

Description of the real-world dataset. by Fadi K. Dib (5204807)

“…<div><p>Graph drawing, involving the automatic layout of graphs, is vital for clear data visualization and interpretation but poses challenges due to the optimization of a multi-metric objective function, an area where current search-based methods seek improvement. …”

Screenshot of our visualization tool MGDrawVis. by Fadi K. Dib (5204807)

“…<div><p>Graph drawing, involving the automatic layout of graphs, is vital for clear data visualization and interpretation but poses challenges due to the optimization of a multi-metric objective function, an area where current search-based methods seek improvement. …”

Learning dynamics on training tasks. by Sam Hall-McMaster (10343795)

Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

Validation tests of feature decoding during the associative memory paradigm. by Sam Hall-McMaster (10343795)

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”

Parameter space exploration in comparison to exploitation for the selection of samples during Bayesian Optimization. by John E. Fleming (8533956)

Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx by Bingxin Zhang (13011397)