structured-prediction

Conditional Random Field

What are Conditional Random Fields (CRFs)? Conditional Random Fields or CRFs are a type of probabilistic graph model that is used for various machine learning tasks such as classification and prediction. These models are designed to take into consideration neighboring sample context, which enables them to learn and accurately predict results based on these contexts. How CRFs Work CRFs work by building a graphical model, which includes dependencies between various predictions. The model's gra

Log-time and Log-space Extreme Classification

LTLS is a powerful technique used for multilabel and multiclass prediction. This method can perform training and inference in logarithmic time and space. Although it may sound complex, it is a strategy used to solve extreme multi-class classification problems, particularly those with an extensive output space. What is LTLS? LTLS stands for Logarithmic Time and Space Learning. With the ability to embed extensive classification problems with simple structured prediction problems, LTLS employs e

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