Review: EM algorithm
EM Steps in general Given the joint distribution p(X, Z) of observed variables and latent variables, parameterized by θ, maximization…
April 2024
kevin-tofu NOTE: The condition that MCMC can be used
TheMCMC defines transition probabilities that ensure convergence to the stationary distribution. So, what is “Stationary Distribution”? Stationary Distribution If a…
The difference between Metropolis-Hastings and Gibbs Sampling
As we can see in a article(https://eye.kohei-kevin.com/2024/04/20/review-map-mle-bayes-estimation/) (which I posted before), MCMC algorithms are used for do bayes estimation. Generally…
Double Loop in Python Comprehension
Implementation Add if statement
Probabilistic Distributions that you frequently come across
Stochastic Modeling To modeling data distributions, there are some useful Probabilistic Distributions are used. To summarize these distributions, I write…
Survey of Survey: Deep Learning for Cross-Domain Few-Shot VisualRecognition: A Survey
I found a paper that explains “Cross-Domain Few-Shot Learning” well. https://arxiv.org/abs/2303.08557 What is Cross-Domain Few-Shot? The Cross-Domain Few-Shot(CDFS) is one…
Review: MLE/MAP/Bayes Estimation
The difference Maximum Likelihood Estimation(MLE) Maximum A Posteriori Estimation(MAP) It is using bayes rule, however, since you are only considering…
Unitary Operator in QCNN, Qiskit
Conv Layer in Qiskit As we can see in Qiskit page(https://qiskit-community.github.io/qiskit-machine-learning/tutorials/11_quantum_convolutional_neural_networks.html), below Unitary transform is used as convolution layer in…
Rxx Gate in Quantum Computing
What is it? The gate is a quantum gate used in quantum computing to implement a common rotation around the…
Reset and ReCreate a table in Peewee
import peewee import datetime db = PostgresqlDatabase( 'database_name', user='user_name', password='password', host='localhost', port=5432 ) class PeeweeModel(peewee.Model): class Meta: database = db…