By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Comparative analysis of protein networks has proven to be a powerful approach for elucidating network structure and predicting protein function and interaction. A fundamental chall...
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
We show that aggregate constraints (as opposed to pairwise constraints) that often arise when integrating multiple sources of data, can be leveraged to enhance the quality of dedu...
Surajit Chaudhuri, Anish Das Sarma, Venkatesh Gant...
Many modern software systems provide progress indicators for long-running tasks. These progress indicators make systems more user-friendly by helping the user quickly estimate how...
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Mi...