Oversubscribed scheduling problems require removing tasks when enough resources are not available. Prior AI approaches have mostly been constructive or repairbased heuristic searc...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
The Lixto project is an ongoing research effort in the area of Web data extraction. Whereas the project originally started out with the idea to develop a logic-based extraction lan...
A successful detection and classification system must have two properties: it should be general enough to compensate for intra-class variability and it should be specific enough to...
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...