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» Solving Hierarchical Optimization Problems Using MOEAs
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111
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AAAI
2008
15 years 2 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
INFOCOM
2007
IEEE
15 years 6 months ago
Distributed Low-Complexity Maximum-Throughput Scheduling for Wireless Backhaul Networks
— We introduce a low-complexity distributed slotted MAC protocol that can support all feasible arrival rates in a wireless backhaul network (WBN). For arbitrary wireless networks...
Abdul Kader Kabbani, Theodoros Salonidis, Edward W...
CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 19 days ago
Robustness, Risk, and Regularization in Support Vector Machines
We consider two new formulations for classification problems in the spirit of support vector machines based on robust optimization. Our formulations are designed to build in prote...
Huan Xu, Shie Mannor, Constantine Caramanis
115
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NCA
2007
IEEE
15 years 1 days ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
DCOSS
2011
Springer
14 years 10 days ago
Transmission Control Policy design for decentralized detection in sensor networks
—A Wireless Sensor Network (WSN) deployed for detection applications has the distinguishing feature that sensors cooperate to perform the detection task. Therefore, the decoupled...
Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Bisw...