Our KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an autonomous, domain...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...
We envision a future in which the global economy and the Internet will merge and evolve together into an information economy bustling with billions of economically motivated softw...
Jeffrey O. Kephart, James E. Hanson, Amy R. Greenw...
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
An original methodology, called backward model tracing to model student performance which features a profitable integration of the bug collection and bug construction techniques i...