Tag: supervised learning

A partitioned feature selection framework improves the interpretability and predictive performance of questionnaire-based depression severity models by grouping interrelated symptoms ...

Researchers paired supervised machine learning with rule-based reasoning to predict exercise energy expenditure and classify physical activity intensity from non-wearable ...

Researchers combined tiling microarray resequencing with stacked ensemble neural networks to achieve high base-calling accuracy and recover confirmed viral variants ...

A hybrid deep learning framework that combines unsupervised feature extraction with supervised regression outperformed a standard neural network and conventional ...

Researchers at Virginia Tech and NASA Ames have launched AI², a free open-source web tool that lets astrobiologists train and ...

A sweeping new review in Vicinagearth charts the rise of multi-dimensional classification, the machine learning paradigm that labels objects along ...

Researchers have developed hyperspherical supervised topic models that encode word and knowledge graph embeddings on the unit sphere to produce ...