Background: Prostate cancer is one of the leading causes of cancer illness and death among men in the United States and world wide. There is an urgent need to discover good biomar...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Logical constraints, (e.g., 'phone numbers in toronto can have prefixes 416, 647, 905 only'), are ubiquitous in relational databases. Traditional integrity constraints, ...
Amit Chandel, Nick Koudas, Ken Q. Pu, Divesh Sriva...
Structural join operations are central to evaluating queries against XML data, and are typically responsible for consuming a lion's share of the query processing time. Thus, ...
We propose a multiclass (MC) classification approach to text categorization (TC). To fully take advantage of both positive and negative training examples, a maximal figure-of-meri...