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NN
2008
Springer
146views Neural Networks» more  NN 2008»
15 years 6 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
CIKM
2010
Springer
15 years 5 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
VTC
2010
IEEE
233views Communications» more  VTC 2010»
15 years 5 months ago
Quantization and Transmission of the Energy Measures for Cooperative Spectrum Sensing
— We consider the sensing of the frequency spectrum based on energy detection for cognitive radios. It has been shown that the reliability of the sensing can be improved by using...
Olivier van den Biggelaar, Jean-Michel Dricot, Phi...
ICPP
2009
IEEE
15 years 4 months ago
Cache-Efficient, Intranode, Large-Message MPI Communication with MPICH2-Nemesis
The emergence of multicore processors raises the need to efficiently transfer large amounts of data between local processes. MPICH2 is a highly portable MPI implementation whose l...
Darius Buntinas, Brice Goglin, David Goodell, Guil...
ICASSP
2011
IEEE
14 years 10 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel