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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 8 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...
ICDE
2006
IEEE
206views Database» more  ICDE 2006»
14 years 9 months ago
Query Co-Processing on Commodity Hardware
The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications. Researchers have acti...
Anastassia Ailamaki, Naga K. Govindaraju, Dinesh M...
HPCA
2009
IEEE
14 years 8 months ago
Dacota: Post-silicon validation of the memory subsystem in multi-core designs
The number of functional errors escaping design verification and being released into final silicon is growing, due to the increasing complexity and shrinking production schedules ...
Andrew DeOrio, Ilya Wagner, Valeria Bertacco
HPCA
2007
IEEE
14 years 8 months ago
Thermal Herding: Microarchitecture Techniques for Controlling Hotspots in High-Performance 3D-Integrated Processors
3D integration technology greatly increases transistor density while providing faster on-chip communication. 3D implementations of processors can simultaneously provide both laten...
Kiran Puttaswamy, Gabriel H. Loh
POPL
2007
ACM
14 years 8 months ago
Specialization of CML message-passing primitives
Concurrent ML (CML) is a statically-typed higher-order concurrent language that is embedded in Standard ML. Its most notable feature is its support for first-class synchronous ope...
John H. Reppy, Yingqi Xiao