A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...
To maintain consistency, designers of replicated services have traditionally been forced to choose from either strong consistency guarantees or none at all. Realizing that a conti...
Distributed programming is applicable in a wide range of domains such as control systems. These systems are subject to mutable environments and must also provide a time varying ad...
Luci Pirmez, Luiz F. Rust da Costa Carmo, Reinaldo...