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 ...
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...
— 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...
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...
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...