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ACL
1998
14 years 11 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 4 months ago
Robust closed-loop control of plasma glycemia: A discrete-delay model approach
The paper investigates the problem of tracking a desired plasma glucose evolution by means of intra-venous insulin administration. A modelbased approach is followed. A recent model...
Pasquale Palumbo, Pierdomenico Pepe, Simona Panunz...
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
15 years 4 months ago
ADE: A Framework for Robust Complex Robotic Architectures
— Robots that can interact naturally with humans require the integration and coordination of many different components with heavy computational demands. We argue that an architec...
James F. Kramer, Matthias Scheutz
ECML
2005
Springer
15 years 3 months ago
Machine Learning of Plan Robustness Knowledge About Instances
Abstract. Classical planning domain representations assume all the objects from one type are exactly the same. But when solving problems in the real world systems, the execution of...
Sergio Jiménez, Fernando Fernández, ...
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
15 years 2 months ago
Risk sensitive robust support vector machines
— We propose a new family of classification algorithms in the spirit of support vector machines, that builds in non-conservative protection to noise and controls overfitting. O...
Huan Xu, Constantine Caramanis, Shie Mannor, Sungh...