Search Results for author:
Found 2 papers, 1 papers with code
A Two-Stage Active Learning Algorithm for $k$-Nearest Neighbors
$k$-nearest neighbor classification is a popular non-parametric method because of desirable properties like automatic adaption to distributional scale changes.
A Deep Learning Approach to Probabilistic Forecasting of Weather
We discuss an approach to probabilistic forecasting based on two chained machine-learning steps: a dimensional reduction step that learns a reduction map of predictor information to a low-dimensional space in a manner designed to preserve information about forecast quantities; and a density estimation step that uses the probabilistic machine learning technique of normalizing flows to compute the joint probability density of reduced predictors and forecast quantities.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
