A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
The Halo Pilot, a six-month effort to evaluate the state-ofthe-art in applied Knowledge Representation and Reasoning (KRR) systems, collaboratively developed a taxonomy of failure...
Noah S. Friedland, Paul G. Allen, Michael J. Witbr...
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...