In a variety of applications ranging from optimizing queries on alphanumeric attributes to providing approximate counts of documents containing several query terms, there is an in...
Zhiyuan Chen, Flip Korn, Nick Koudas, S. Muthukris...
Engineering systems are becoming increasingly complex as state of the art technologies are incorporated into designs. Surety modeling and analysis is an emerging science which per...
James Davis, Jason Scott, Janos Sztipanovits, Marc...
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...