We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
This paper presents a flexible and effective examplebased approach for labeling title pages which can be used for automated extraction of bibliographic data. The labels of intere...
Joost van Beusekom, Daniel Keysers, Faisal Shafait...
Abstract-Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web. These data sets have large, nonuniform schema that require costly data integra...
Bryan Chan, Leslie Wu, Justin Talbot, Mike Cammara...
Numerous recent papers have found important relationships between network structure and risks within networks. These results indicate that network structure can dramatically affec...
Paul Hines, Seth Blumsack, E. Cotilla Sanchez, C. ...
Some SAT-solvers are equipped with the ability to produce resolution proofs for problems which are unsatisfiable. Such proofs are used in a variety of contexts, including finding...