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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 6 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ICSE
2008
IEEE-ACM
16 years 5 months ago
Answering conceptual queries with Ferret
Programmers seek to answer questions as they investigate the functioning of a software system, such as "which execution path is being taken in this case?" Programmers at...
Brian de Alwis, Gail C. Murphy
WSC
2004
15 years 6 months ago
Estimating Efficacy of Progressive Planning for Air Traffic Flow Management
Air traffic flow management (TFM) is a set of processes and procedures which seek to balance the demand for airspace resources with the capacity of these resources. Examples of re...
Lynne Fellman, James S. DeArmon, Kelly A. Connolly
CVPR
2003
IEEE
16 years 7 months ago
Shedding Light on the Weather
Virtually all methods in image processing and computer vision, for removing weather effects from images, assume single scattering of light by particles in the atmosphere. In reali...
Srinivasa G. Narasimhan, Shree K. Nayar
EENERGY
2010
15 years 9 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
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