We present a new approach to extracting information from unstructured documents based on an application ontology that describes a domain of interest. Starting with such an ontolog...
David W. Embley, Douglas M. Campbell, Randy D. Smi...
To alleviate the system performance unpredictability of multitasking applications running on multiprocessor platforms with shared memory hierarchies we propose a task level set ba...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Many real-world domains are relational in nature, consisting of a set of objects related to each other in complex ways. This paper focuses on predicting the existence and the type...
Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Dap...
Genetic algorithms are applied to an important, but little-investigated, network design problem, that of reconfiguring the topology and link capacities of an operational network t...