Personal Information
Organización/Lugar de trabajo
Sasang-gu, Busan, Korea Korea, South
Sector
Education
Sitio web
None
Etiquetas
machine learning
game theory
algorithm
reinforcement learning
computer algorithms
evolutionary computation
bayes classifier
genetic algorithm
support vector machines
artificial neural network
ensemble
boosting
andrew moore
decision tree
econometrics
metropolis hastings
gibbs sampling
markov chain monte carlo
simplex
median of medians
linear selection
average linear selection
comparison sort
lower bound
binary heap
mergesort
binary tree
mathematical induction
ppo
trpo
pattern classification
wasserstein gan with gp
began
wasserstein gan
deep learning
logistic regression
linear regression
gan
sentiment analysis
text classification
entropy
pattern recognition
Ver más
Presentaciones
(21)Documentos
(48)Recomendaciones
(3)가깝고도 먼 Trpo
Woong won Lee
•
Hace 6 años
Generative Adversarial Networks (GAN) の学習方法進展・画像生成・教師なし画像変換
Koichi Hamada
•
Hace 7 años
Universal Approximation Theorem
Jamie Seol
•
Hace 7 años
Personal Information
Organización/Lugar de trabajo
Sasang-gu, Busan, Korea Korea, South
Sector
Education
Sitio web
None
Etiquetas
machine learning
game theory
algorithm
reinforcement learning
computer algorithms
evolutionary computation
bayes classifier
genetic algorithm
support vector machines
artificial neural network
ensemble
boosting
andrew moore
decision tree
econometrics
metropolis hastings
gibbs sampling
markov chain monte carlo
simplex
median of medians
linear selection
average linear selection
comparison sort
lower bound
binary heap
mergesort
binary tree
mathematical induction
ppo
trpo
pattern classification
wasserstein gan with gp
began
wasserstein gan
deep learning
logistic regression
linear regression
gan
sentiment analysis
text classification
entropy
pattern recognition
Ver más