A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
Polynomial expressions are used to approximate a wide variety of functions commonly found in signal processing and computer graphics applications. Computing these polynomial expre...
Parallel I/O plays a crucial role for most data-intensive applications running on massively parallel systems like Blue Gene/L that provides the promise of delivering enormous comp...
Hao Yu, Ramendra K. Sahoo, C. Howson, G. Almasi, J...