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...
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
Web usage mining, the analysis of user navigation paths through web sites, is a common technique for evaluating site designs or adaptive hypermedia techniques. However, often it i...
In this paper we explore the use of a set of novel design metrics for characterizing the impact of gate oxide tunneling current in nanometer CMOS devices and perform Monte Carlo s...