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Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right...

Bayesian modeling sparsity Structure discovery Unsupervised learning Algorithms Animals Concept Formation Datasets as Topic Humans Judgment Models Theoretical

RESEARCH ARTICLE RESEARCH ARTICLES Cluster Analysis pattern recognition portfolio management Similarity measure Unsupervised learning

article Parallel Computing Technologies 2020 Haralick features self-organizing maps GPU computing Medical Imaging Radiomics Unsupervised learning

Establishing the links between running technique and economy remains elusive due to high inter-individual variability. Clustering runners by technique may enable tailored training recommendations, yet it is unclear if different...

Running performance energetics kinematics Machine Learning Unsupervised learning /dk/atira/pure/subjectarea/asjc/3600/3612 name=Physical Therapy, Sports Therapy and Rehabilitation /dk/atira/pure/subjectarea/asjc/2700/2732 name=Orthopedics and Sports Medicine

Research Paper MULTIPLE INFERENCE conditional false discovery rate empirical Bayes False discovery rate high‐dimensional association study transcriptome‐wide association study Unsupervised learning

The names of construction activities are the only unstructured data attribute in construction schedules and often guide construction execution. Activity names are devised to communicate between stakeholders, and therefore are...

Text data Construction schedule Unsupervised learning

Establishing the links between running technique and economy remains elusive due to high inter-individual variability. Clustering runners by technique may enable tailored training recommendations, yet it is unclear if different...

Running performance energetics kinematics Machine Learning Unsupervised learning /dk/atira/pure/subjectarea/asjc/3600/3612 name=Physical Therapy, Sports Therapy and Rehabilitation /dk/atira/pure/subjectarea/asjc/2700/2732 name=Orthopedics and Sports Medicine

Determining the best partition for a dataset can be a challenging task because of the lack of a priori information within an unsupervised learning framework and the absence of a unique clustering validation approach to evaluate...

Clustering clustering replicability stability-based relative validation Unsupervised learning

High-dimensional hypothesis testing is ubiquitous in the biomedical sciences, and informative covariates may be employed to improve power. The conditional false discovery rate (cFDR) is a widely used approach suited to the...

conditional false discovery rate empirical Bayes False discovery rate high-dimensional association study transcriptome-wide association study Unsupervised learning Computer Simulation Phenotype Research Design