Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
fies a number of issues related to security information r semantics on different layers of abstraction. In particular it is difficult to express caller and target accurately in the...
To fulfill the requirement of fast interactive multidimensional data analysis, database systems precompute aggregate views on some subsets of dimensions and their corresponding hi...
Amit Shukla, Prasad Deshpande, Jeffrey F. Naughton