Abstract--Hardward/software (HW/SW) codesign and reconfigurable computing are commonly used methodologies for digitalsystems design. However, no previous work has been carried out ...
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
In this paper, we describe a scheme for tolerating and recovering from mid-query faults in a distributed shared nothing database. Rather than aborting and restarting queries, our s...
Christopher Yang, Christine Yen, Ceryen Tan, Samue...
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...