Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
Abstract. Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Bran...
Mauro Barni, Pierluigi Failla, Vladimir Kolesnikov...
The advent of new parallel architectures has increased the need for parallel optimizing compilers to assist developers in creating efficient code. OpenUH is a state-of-the-art opt...
Lei Huang, Deepak Eachempati, Marcus W. Hervey, Ba...
The problem of ethnicity identification from names has a variety of important applications, including biomedical research, demographic studies, and marketing. Here we report on th...
Anurag Ambekar, Charles B. Ward, Jahangir Mohammed...
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...