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Found 4 papers, 0 papers with code
Uncertainty quantification of receptor ligand binding sites prediction
Recent advancements in protein docking site prediction have highlighted the limitations of traditional rigid docking algorithms, like PIPER, which often neglect critical stochastic elements such as solvent-induced fluctuations.
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
A potentially critical predicate for application of machine learning methods to datasets involves addressing this problem.
Multilevel orthogonal Bochner function subspaces with applications to robust machine learning
To uncover the separation between these classes, we employ the Karhunen-Loeve expansion and construct the appropriate subspaces.
Change Detection: A functional analysis perspective
We develop a new approach for detecting changes in the behavior of stochastic processes and random fields based on tensor product representations such as the Karhunen-Lo\`{e}ve expansion.
Probability Functional Analysis Statistics Theory Statistics Theory
