Exploring kernel functions in the softmax layer for contextual word classification
Prominently used in support vector machines and logistic regressions, kernel functions
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Y Gao, C Herold, W Wang, H Ney - Proceedings of the 16th …, 2019 - aclanthology.org
Prominently used in support vector machines and logistic re-gressions, kernel functions
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
[PDF][PDF] Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Y Gao, C Herold, W Wang, H Ney - pdfs.semanticscholar.org
Background Geometric Explanation of Softmax Bottleneck• an intuitive example:–p (dog| a
common home pet is...)≈ p (cat| a common home pet is...)≈ 50%–learned word vectors are …
common home pet is...)≈ p (cat| a common home pet is...)≈ 50%–learned word vectors are …
[PDF][PDF] Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Y Gao, C Herold, W Wang, H Ney - www-i6.informatik.rwth-aachen.de
Prominently used in support vector machines and logistic regressions, kernel functions
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
[PDF][PDF] Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Y Gao, C Herold, W Wang, H Ney - publications.rwth-aachen.de
Prominently used in support vector machines and logistic regressions, kernel functions
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Y Gao, C Herold, W Wang, H Ney - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Prominently used in support vector machines and logistic regressions, kernel functions
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
[PDF][PDF] Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Y Gao, C Herold, W Wang, H Ney - www-i6.informatik.rwth-aachen.de
Prominently used in support vector machines and logistic regressions, kernel functions
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
[PDF][PDF] Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Y Gao, C Herold, W Wang, H Ney - publications.rwth-aachen.de
Prominently used in support vector machines and logistic regressions, kernel functions
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
(kernels) can implicitly map data points into high dimensional spaces and make it easier to …
