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PIEEE
2016
58views more  PIEEE 2016»
8 years 17 days ago
Reconstructing Time-Dependent Dynamics
—The usefulness of the information contained in biomedical data relies heavily on the reliability and accuracy of the methods used for its extraction. The conventional assumption...
Philip T. Clemson, Gemma Lancaster, Aneta Stefanov...
PIEEE
2016
44views more  PIEEE 2016»
8 years 17 days ago
A Review of Relational Machine Learning for Knowledge Graphs
Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical model...
Maximilian Nickel, Kevin Murphy 0002, Volker Tresp...
PIEEE
2016
67views more  PIEEE 2016»
8 years 17 days ago
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
Michael K. K. Leung, Andrew Delong, Babak Alipanah...
PIEEE
2016
61views more  PIEEE 2016»
8 years 17 days ago
Resource Allocation for Statistical Estimation
Statistical estimation in many contemporary settings involves the acquisition, analysis, and aggregation of datasets from multiple sources, which can have significant difference...
Quentin Berthet, Venkat Chandrasekaran
PIEEE
2016
81views more  PIEEE 2016»
8 years 17 days ago
Taking the Human Out of the Loop: A Review of Bayesian Optimization
Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P....
PIEEE
2016
46views more  PIEEE 2016»
8 years 17 days ago
Magging: Maximin Aggregation for Inhomogeneous Large-Scale Data
Large-scale data analysis poses both statistical and computational problems which need to be addressed simultaneously. A solution is often straightforward if the data are homogene...
Peter Buhlmann, Nicolai Meinshausen