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» On the Performance of Selection Relaying
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IJCNN
2006
IEEE
16 years 18 days ago
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
Lars Backstrom, Rich Caruana
ASPDAC
2006
ACM
105views Hardware» more  ASPDAC 2006»
16 years 16 days ago
Improving routing efficiency for network-on-chip through contention-aware input selection
- The performance of Network-on-Chip (NoC) largely depends on the underlying routing techniques, which have two constituencies: output selection and input selection. Previous resea...
Dong Wu, Bashir M. Al-Hashimi, Marcus T. Schmitz
TCOM
2010
83views more  TCOM 2010»
15 years 1 months ago
Global and Fast Receiver Antenna Selection for MIMO Systems
Abstract--For a multiple-input multiple-output (MIMO) system with more antennas at the receiver than the transmitter, selecting the same number of receiver antennas as the number o...
Bu Hong Wang, Hon Tat Hui, Mook Seng Leong
ICML
2002
IEEE
16 years 7 months ago
Is Combining Classifiers Better than Selecting the Best One
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
Saso Dzeroski, Bernard Zenko
PAA
2008
15 years 6 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Àgata Lapedriza, Santi Seguí, David ...