The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
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...
Embedded code pointers (ECPs) are stored handles of functions and continuations commonly seen in low-level binaries as well as functional or higher-order programs. ECPs are known ...
We describe a new automatic static analysis for determining upper-bound functions on the use of quantitative resources for strict, higher-order, polymorphic, recursive programs de...
Steffen Jost, Hans-Wolfgang Loidl, Kevin Hammond, ...
In functional programming, monadic characterizations of computational effects are normally understood denotationally: they describe how an effectful program can be systematically ...