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» Identifying Conditional Causal Effects
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GLOBECOM
2010
IEEE
15 years 12 days ago
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Sungho Yun, Constantine Caramanis
115
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RE
2001
Springer
15 years 6 months ago
Issues of Visualized Conflict Resolution
Effective and efficient requirements negotiation is a key to the success of software development efforts. For large projects, this can be especially difficult to do effectively an...
Hoh In, Siddhartha Roy
INFOCOM
2008
IEEE
15 years 8 months ago
SRLG Failure Localization in All-Optical Networks Using Monitoring Cycles and Paths
—We introduce the concepts of monitoring paths (MPs) and monitoring cycles (MCs) for unique localization of shared risk linked group (SRLG) failures in all-optical networks. An S...
Satyajeet Ahuja, Srinivasan Ramasubramanian, Marwa...
NIPS
2008
15 years 3 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
CHI
2008
ACM
15 years 4 months ago
Do visualizations improve synchronous remote collaboration?
Information visualizations can improve collaborative problem solving, but this improvement may depend on whether visualizations promote communication. In an experiment on the effe...
Aruna D. Balakrishnan, Susan R. Fussell, Sara B. K...