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ICML
2005
IEEE
16 years 5 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 8 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
136
Voted
TCAD
2008
115views more  TCAD 2008»
15 years 4 months ago
Variability-Aware Design of Multilevel Logic Decoders for Nanoscale Crossbar Memories
Abstract--The fabrication of crossbar memories with sublithographic features is expected to be feasible within several emerging technologies; in all of them, the nanowire (NW) deco...
M. Haykel Ben Jamaa, Kirsten E. Moselund, David At...
136
Voted
HPCA
2004
IEEE
16 years 4 months ago
Out-of-Order Commit Processors
Modern out-of-order processors tolerate long latency memory operations by supporting a large number of inflight instructions. This is particularly useful in numerical applications...
Adrián Cristal, Daniel Ortega, Josep Llosa,...
ISPASS
2010
IEEE
15 years 2 months ago
Weak execution ordering - exploiting iterative methods on many-core GPUs
Abstract--On NVIDIA's many-core GPUs, there is no synchronization function among parallel thread blocks. When finegranularity of data communication and synchronization is requ...
Jianmin Chen, Zhuo Huang, Feiqi Su, Jih-Kwon Peir,...