Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
In the recent years, the Web has been rapidly “deepened” with the prevalence of databases online. On this deep Web, many sources are structured by providing structured query i...
Data Structure Abstractions for Asynchronous Web Applications Daniel S. Myers MIT CSAIL Jennifer N. Carlisle MIT CSAIL James A. Cowling MIT CSAIL Barbara H. Liskov MIT CSAIL The c...
Daniel S. Myers, Jennifer N. Carlisle, James A. Co...
Previous work on sensitivity analysis in Bayesian networks has focused on single parameters, where the goal is to understand the sensitivity of queries to single parameter changes...
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...