Mots-clés
machine learning
artificial intelligence
tensorflow
nag
adadelta
adam
composite objective
comid
convergence rate
regret bound
deep learning
mirror descent
stochastic optimization
decision tree ensembles
treebagging
xgb
boosting
gradientboost
regression
ensemble method
extratree
bagging
decision tree
cart
gradientboosting
extratrees
xgboost
adaboost
randomforest
scikit-learn
falk's dual
filter method
approximated hessian
topology optimization
sequential convex programming
convex separable approximation
dual method
diagonal quadratic approximation
structural topology optimization
convex optimization
sequential approximate optimization
mri
dimensia
alzheimer
convolutional neural network
diagonosis
googlenet
neuroimage
cnn
alzheimer's disease
Tout plus
Présentations
(4)J’aime
(1)new optimization algorithm for topology optimization
Seonho Park
•
il y a 7 ans
Mots-clés
machine learning
artificial intelligence
tensorflow
nag
adadelta
adam
composite objective
comid
convergence rate
regret bound
deep learning
mirror descent
stochastic optimization
decision tree ensembles
treebagging
xgb
boosting
gradientboost
regression
ensemble method
extratree
bagging
decision tree
cart
gradientboosting
extratrees
xgboost
adaboost
randomforest
scikit-learn
falk's dual
filter method
approximated hessian
topology optimization
sequential convex programming
convex separable approximation
dual method
diagonal quadratic approximation
structural topology optimization
convex optimization
sequential approximate optimization
mri
dimensia
alzheimer
convolutional neural network
diagonosis
googlenet
neuroimage
cnn
alzheimer's disease
Tout plus