In this context, we introduce a mixture of NNs with marginalized output weights that can both provide probabilistic predictions and improve on the performance ...
We introduce a mixture of NNs with marginalized output weights that can both provide probabilistic predictions and improve on the performance of sparse ...
Oct 22, 2024 · In this context, we introduce a mixture of NNs with marginalized output weights that can both provide probabilistic predictions and improve on ...
In this context, we introduce a mixture of NNs with marginalized output weights that can both provide probabilistic predictions and improve on the performance ...
A mixture of NNs with marginalized output weights that can both provide probabilistic predictions and improve on the performance of sparse Gaussian ...
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Marginalized neural network mixtures for large-scale regression. M Lázaro-Gredilla, AR Figueiras-Vidal. IEEE transactions on neural networks 21 (8), 1345-1351, ...
Kernel Recursive Least-Squares Tracker for Time-Varying Regression. 23:1313-1326. 2012; Marginalized Neural Network Mixtures for Large-Scale Regression. 21 ...
Jan 13, 2022 · Marginalized neural network mixtures for large-scale re- gression. IEEE transactions on neural networks, 21(8):. 1345–1351, 2010. Yann LeCun ...
Marginalized neural network mixtures for large-scale regression. Neural Networks, IEEE Transactions on, 21(8), 1345-1351. Leung, F. H.-F., Lam, H.-K., Ling ...
and Figueiras-Vidal, A. R. Marginalized neu- ral network mixtures for large-scale regression. Neural Net- works, IEEE Transactions on, 21(8):1345–1351, 2010.