Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
: Experience in Extending Query Engine for Continuous Analytics Qiming Chen, Meichun Hsu HP Laboratories HPL-2010-44 In-Database Stream Processing Combining data warehousing and s...
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
Background: FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows...
Marc Chadeau-Hyam, Clive J. Hoggart, Paul F. O'Rei...