Meta Learning for High-dimensional Ising Model Selection Using $\ell_1$-regularized Logistic Regression.
Huiming XieJean HonorioPublished in: CoRR (2022)
Keyphrases
- logistic regression
- meta learning
- model selection
- high dimensional
- variable selection
- cross validation
- decision trees
- support vector
- parameter estimation
- hyperparameters
- regression model
- markov random field
- dimensionality reduction
- least squares
- naive bayes
- machine learning
- sample size
- feature selection
- nearest neighbor
- gaussian process
- loss function
- data points
- high dimensional data
- marginal likelihood
- inductive learning
- unsupervised learning
- feature space
- closed form
- k nearest neighbor
- learning algorithm