Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides ...

An important goal in image analysis is to cluster and recognize objects of interest according to the shapes of their boundaries. Clustering such objects faces at least four major challenges including ...

Fully convolutional networks were developed for predicting optimal dose distributions for patients with left-sided breast cancer and compared the prediction accuracy between two-dimensional and ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

When dealing with data, you may have to know the fact table vs dimension table differences. A fact table holds the data that needs to be analyzed, and a dimension table stores data dealing with how ...

Over the 21st century global environmental change may pose critical challenges for societies across the world. To understand its potential impacts, global long-term spatial projections of societal ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability while achieving 91% ROC AUC accuracy in index ...

A distant gas giant the size of 10 Jupiters is now the first planet outside Earth's solar system to be mapped in three ...